Functional organizational chart and team

Team: short bio

Project Leader

Prof. Dario Gregori is full professor of medical statistics at University of Padova. After graduation in Statistics at Pennsylvania State University (US) he got a PhD in Applied Statistics in 1995 at University of Firenze. He is Director of the residency program in Medical Statistics and Biometrics and Coordinator of the Ph.D. Program in Specialized and Translational Medicine “G.B.Morgagni” at University of Padova. His interests include clinical predictive modeling and machine learning algorithms for bio-medical research, including big data use for primary and secondary prevention. He holds several grants in this field from national and international agencies. He published more than 650 papers (H-index 50).

Senior experts

Prof. Fiorella Calabrese is a distinguished scientific leader and Full Professor of Pathology at the University of Padova in Italy. With a focus on thoracic pathology, her expertise spans across both oncological and non-oncological domains, encompassing clinical practice and research endeavors. In 1995, Prof. Fiorella Calabrese established one of the pioneering molecular pathology laboratories at the University of Padova, which has since evolved into a prestigious institutional hub attracting medical students and young researchers from various EU and non-EU countries. She holds the responsibility of the European Advanced Training Centre for the European Society of Pathology, nurturing the next generation of pathologists. As the Founder and President of the non-
profit association “AIRPP: Italian Association for Pulmonary Pathology Research,” Prof. Fiorella Calabrese is dedicated to supporting young scientists engaged in lung research, fostering innovation and collaboration in the field. Internationally, Prof. Fiorella Calabrese has held esteemed positions, serving as a Visiting Professor in Strasbourg (2017-2018) and a Visiting Expert in the Singapore Health Manpower Development Programme in thoracic pathology. Her recognized expertise has led her to leadership roles in several international scientific societies, including Chair of the “Pulmonary Pathology” working group of the European Society of Pathology and Chair of the “Pathology” Council of the International Society of Heart and Lung Transplantation Prof. Fiorella Calabrese is also actively involved in shaping international guidelines and statements, contributing significantly to the International Collaboration on Cancer Reporting (ICCR) Lung Cancer dataset authoring committee. Throughout her career, Prof. Fiorella Calabrese has secured substantial research funding, totaling approximately 650,000 euros from national funding institutions. Her prolific scientific track record includes over 286 peer-reviewed articles, with a total impact factor exceeding 1896.132. She has delivered numerous invited lectures at international conferences, including an honorary lecture at the “Mayo Clinic Thoracic Pathology Conference,” titled “Common and uncommon thoracic tumors.” With an impressive H-index of 63 from Google Scholar and 53 from Scopus, Prof. Fiorella Calabrese has made significant contributions to the field, evident in her extensive publication record, comprising more than 300 short papers, abstracts, and 21 book chapters. Prof. Fiorella Calabrese continues to be a leading figure in thoracic pathology, driving innovation, mentorship, and collaboration on a global scale.

Prof. Ileana Baldi holds a Ph.D. in Statistics from the University of Milano-Bicocca and an MSc in Epidemiology from the University of Torino. She is an Associate Professor of Medical Statistics at the UBEP, Department of Cardiac, Thoracic, Vascular Sciences and Public Health at the UNIPD, where she has been a faculty member since 2011.
She started during her previous research experience at the Cancer Epidemiology Unit of the University of Torino (2002-2011) to gain demonstrable and extensive experience in the design of clinical trials and analysis of large electronic health sources in collaborative efforts with epidemiologists and clinicians.
Over the past decade, from 2013 to the present, her research has encompassed crucial aspects of healthcare data analysis and clinical research methodologies. She integrated machine learning techniques into extensive datasets, yielding predictive models for treatment outcomes and systematic reviews in specialized medical support. More recently, from 2022 onward, her focus has centered on integrating patient preference studies into clinical research to refine decision-making frameworks.
Within the scientific community, she has actively contributed to esteemed international organizations like EFSA and ECDC through framework contracts, offering specialized skills in systematic reviews and advanced biostatistics. Additionally, her involvement with the Italian Ministry of Health has provided opportunities to apply cutting-edge analytical techniques in digital epidemiology. Furthermore, she collaborated with the Italian Society of Gastroenterology and Digestive Endoscopy, providing methodological support for developing guidelines.

Prof. Baldi current professional roles encompass diverse aspects of academia and quality assurance. As a journal editor, she actively contributes to shaping scientific discourse, ensuring rigorous standards in research publication. Concurrently, she coordinates the Biostatistics and Clinical Epidemiology Curriculum within a PhD program, fostering a robust educational framework for aspiring scholars in translational specialistic medicine. She holds positions directing two master’s courses, facilitating specialized education in specific domains. Additionally, as the quality audit referent for the Medical Statistics and Biometrics residency program, she oversees stringent quality benchmarks, ensuring compliance with regulatory standards and continuously enhancing program credibility. These multifaceted roles reflect her dedication to academic leadership, educational excellence, and the consistent pursuit of high-quality standards across diverse academic and evaluative domains.
She has authored over 120 scientific publications (H-index 29), peer-reviewed for journals and conferences, and attended several international and national congresses.

Prof. Giulia Lorenzoni is an assistant professor in the field of clinical epidemiology at the Unit of Biostatistics, Epidemiology and Public Health (UBEP), within the Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Italy. She also oversees the Laboratory of Clinical Epidemiology and Digital Health (LACED) at UBEP. After receiving her PhD in Developmental Medicine and Health Planning Sciences from the University of Padova in 2019, she specialized as a postdoctoral researcher in clinical epidemiology for cardiothoracic research until 2023. Her main research interests include the development of clinical predictive models, analyses of observational clinical data using propensity score techniques, and competing risk analysis. Her contributions to the field are evidenced by her publications (184 articles in peer-reviewed journals, h-index of 16, with her first publication in 2014, according to Scopus) and her participation in international and national conferences. In addition to research, she supervises master’s theses, doctoral students, and trainees. She also holds teaching responsibilities in Medical Statistics for both graduate and postgraduate courses at the School of Medicine, University of Padova.

Prof. Chiara Giraudo graduated and completed her residency in Radiology at the University of Padova in Italy. During her residency, she has been visiting scholar at the University of California San Diego (UCSD) and observer at the Medical University of Vienna. After the residency, she completed her PhD in Medical Physics at the Center of Excellence for MR Research of the Medical University of Vienna. She is Assistant Professor of Radiology at the University of Padova, Chair of the Arthritis Subcommittee of the ESSR and ESSR Representative for the ESR Referral Guidelines Subcommittee. Her main clinical and research focus is on thoracic and musculoskeletal imaging. She authored and co-authored more than 140 papers including studies on the application of radiomics in oncology. She is the referring radiologist for the multidisciplinary team of thoracic imaging including oncological and interstitial lung disease.

Prof. Annibale Biggeri MD. MsPH, MsS. Full Professor Medical Statistics, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua (IT) (2021-), formerly University of Florence (IT) (1992-). President “Epidemiologia e Prevenzione” Social Enterprise (2013-). Formerly President (2011-2013) and member of the Boards of Directors (2006-2011) of the Tuscany Regional Health Agency. He is involved in several project with strong impact on Society – e.g. Citizen Science Project CitieS-Health EU H2020; Health Impact of the ILVA Steel Plant (Taranto IT); Health Impact Assessment of Air Pollution at Regional Level, Lombardia Region. He was member of the National Toxicological Committee, of the Council of The International Biometric Society, and President of the Italian Epidemiological Association. He is Coordinator of the Master in Epidemiology of the Italian Epidemiological Association and the University of Turin, member of the Faculty of the Doctorate School in Medicina Specialistica Traslazionale “G.B. Morgagni”, University of Padova. He served as Associate Editor of Biometrics. He published on several international journals (Scopus Details on February 29th 2024: papers 385; citations 11727; h-index 55).
Prof. Dolores Catelan is Associate professor in medical Statistics at the Unit of Biostatistics, Epidemiology and Public Health (UBEP), within the Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Italy. Her main topic of research are Bayesian spatio and spatio-temporal models for environmental epidemiology. In this field of research, she focused on the treatment and communication of uncertainty and the problem of multiple comparisons in geographical analyses and epidemiological surveillance. The most recent research has focused on occupational epidemiology, in particular on innovative methods for the estimation of occupational risks that take into account the entire work history and not only the prevalent duration as generally done in the literature. In addition to research, she supervises master’s theses, PhD students. She has the responsibility in Medical Statistics for both graduate and post graduate courses at the School of Medicine. She is the director of a Master in biostatistics at the university of Padova and the vice-director of the Master in Geostatistics.

Prof. Federica Pezzuto was born in Copertino on March 24, 1986. She obtained her degree in Medicine from the University of Bari in 2012, followed by a specialization in Pathological Anatomy in 2017, also from the University of Bari. In 2021, she completed her PhD in Translational Specialistic Medicine at the University of Padova. She worked as a term-contract worker for AIRPP Onlus in 2020 and served as a pathology consultant in Abano Terme in 2019 and in Padova from 2020 to 2021. Dr. Pezzuto currently holds the position of Researcher in Pathology at the University of Padova since 2021. Her research interests primarily focus on lung pathology, with a specific emphasis on mesothelioma and the tumor microenvironment. She also conducts research on lung transplant diseases, molecular pathology, and experimental studies. Dr. Pezzuto has co-authored 72 peer-reviewed publications, with an h-index of 12 and 1010 citations. Additionally, she has contributed to 61 short papers and abstracts, as well as authored 1 book chapter. In addition to her research contributions, Dr. Pezzuto actively participates in national and international projects with ongoing grants. She serves as a reviewer for esteemed journals such as Medicine and Frontiers in Oncology, and holds the position of Review Editor for Frontiers in Oncology. She has also been invited to serve as a guest editor for prestigious publications including IJMS and Biomedicine.Dr. Pezzuto is dedicated to ensuring pathology quality as an Assessor for the European Society of Pathology (ESP) Lung External Quality Assessment Scheme (EQA lung). She is actively involved in key organizations like SIAPEC, ESP, and PPS, and shares her insights as an invited speaker at national and international congresses, enriching the discourse in pathology. Committed to education, Dr. Pezzuto imparts knowledge at the School of Medicine, School of Dentistry (Pathological Anatomy), and Schools of Specialization (Pathological Anatomy), aiming to inspire the next generation of medical professionals. Her journey in pathology reflects a steadfast commitment to excellence, evident in her diverse roles, research achievements, and contributions to the scientific community. Awards received mark milestones in her career, affirming the impact of her work. Looking ahead, Dr. Pezzuto is enthusiastic about further exploring lung pathology to contribute meaningfully to medical knowledge and patient care.

Prof. Paolo Spagnolo is an Associate Professor of Respiratory Medicine and Director of the Residency Program in Respiratory Medicine at the University of Padua (Italy). He received his undergraduate training and his MD, and completed his residency in Respiratory Medicine at the University Hospital of Bari (Italy). In 2002, Dr Spagnolo joined the Interstitial Lung Disease Unit (ILDU) of the Royal Brompton Hospital (London), initially as clinical research fellow under the supervision of Professor Ron du Bois and subsequently as Honorary Consultant. In 2008, he completed his PhD at the Imperial College of London under the supervision of Professor Ron du Bois and Professor Ken Welsh, with a thesis on “Genetic predisposition to clinical phenotypes of sarcoidosis”. Between 2008 and 2013, he was a research fellow and subsequently Assistant Professor in Respiratory Medicine at the University Hospital of Modena where he joined the Centre for Rare Lung Diseases led by Professor Luca Richeldi. Since 2015, Dr Spagnolo is an Associate Professor of Respiratory Medicine at the Department of Cardiac, Thoracic, Vascular Sciences and Public Health of the University Hospital of Padua (Italy). His main research interests include ILD, mainly idiopathic pulmonary fibrosis (IPF), and sarcoidosis with emphasis on genetic predisposition, prediction of disease behaviour and clinical trials of novel therapies. Dr Spagnolo is the author or co-author of about 200 journal articles, review articles and editorials. He is an Associate Editor for Chest. He is the Treasurer of the WASOG (World Association of Sarcoidosis and Other Granulomatous diseases) and Chair of the Study Group on Sarcoidosis and other Granulomatous ILD/DPLD of the European Respiratory Society. He is the chair of the European Reference Network (ERN) on rare lung diseases of the University Hospital of Padova (Italy).

Prof. Eleonora Faccioli graduated in Medicine and Surgery in 2014 at the University of Padua. After obtaining the license to practice medicine (Italian State Examination) in 2015 at the University of Padua, she specialized in Thoracic Surgery at the same university in 2020 discussing a thesis on the Italian national experience of pediatric lung transplantation. From March 2021 to November 2021 she obtained a research grant at the Department of Cardiac-Thoracic-Vascular Sciences and Public Health of the University of Padua on a project entitled “Role of ECMO in ischemia-reperfusion injury and development of acute rejection in lung transplantation”. From November 2021 to May 2022 she attended a research and clinical fellowship at the Department of Thoracic Surgery of the University Hospital of Zurich (Switzerland) where she improved clinical and research knowledge focusing particularly on lung transplantation and pleural mesothelioma. Since November 2021 she is Assistant professor at the Department of Cardiac-Thoracic-Vascular Sciences and Public Health of the University of Padua and carries out clinical activity as surgeon at the Thoracic Surgery Unit of the same hospital. In November 2023 she obtained a master’s degree in Biostatistics for Clinical Research and Scientific Publication” at the University of Padua. She is first-author and co-author of several articles published in international scientific journals mainly focused on thoracic oncology and lung transplantations. She has made several talks and presentations at national and international conferences in the field of thoracic oncology surgery and lung transplantation.

Prof. Corrado Lanera is a Research Fellow (RTD-A), data scientist, and educator specializing in biostatistics, with a profound passion for machine learning, artificial intelligence, and the analysis of non-structured data. His expertise is rooted in advanced R programming, underscored by his role as an instructor, where he imparts his knowledge on data manipulation, the Grammar of Graphics with ggplot2, and basic/advanced R programming for statisticians. Lanera’s professional journey includes the habilitation as an Assistant Professor in Medical Statistics (06/M1 – MED/01) and significant contributions as a consultant with Zeta Research s.r.l., focusing on data cleaning and statistical analyses. As a research grantee at the University of Padova, he significantly contributed to reviewing and developing Machine Learning techniques applied to food safety risk assessment, ICU monitor data, cardio MRI sequences, bed pressure sensors, wearable device signals, and free-text natural language field from EHR. His academic pursuits have earned him certifications as an RStudio Certified Trainer in the Tidyverse, alongside accomplishments in the Deep Learning Specialization on Coursera by and the Mastering Software Development in R Specialization by Johns Hopkins University. His dedication to continuous learning is also evident in completing in-person courses on Extending the Tidyverse by Hadley Wickham, Regression Modelling Strategies by Frank E. Harrell Jr., and Conceptual Foundation of Epidemiologic Study Design by Kenneth J. Rothman, among others. Lanera’s dedication to his field is matched by his commitment to teaching and sharing knowledge, as evidenced by his involvement in numerous educational initiatives and his contributions to the broader scientific community through his publications and software development efforts. His professional and academic endeavors highlight a continuous journey of discovery and innovation in the intersection of data science, public health, and machine learning.

Prof. Gianfranco Adimari is an academic figure with a remarkable career in the field of statistics, particularly associated with the University of Padua. He completed his academic training at the same university, obtaining his doctorate in 1996. His research career has mainly developed at the University of Padua, where he worked as a statistician from December 1997 until December 2004. Currently, Gianfranco Adimari holds the position of Associate Professor and is a member of the Italian Statistical Society. His research interests encompass a wide range of topics related to non-parametric and robust statistics. These include Empirical Likelihood, Pseudo Likelihoods, Nonparametric Statistical Inference, Robust Statistics, Survival Analysis, and ROC Analysis. These research interests demonstrate his dedication to exploring and deepening advanced statistical methodologies and their application to real-world problems. Throughout his career, Gianfranco Adimari has collaborated on numerous studies and research projects, significantly contributing to the field of medical statistics and the improvement of diagnostic-analytical techniques through ROC analysis and studies on bias-corrected estimation. These contributions have had a significant impact on the evaluation of diagnostic test accuracy and statistical methodologies in clinical and healthcare settings.

Prof. Daniele Sabbatini became an Assistant Professor in February of this year. He earned his PhD cum laude from the University of Padova in June 2022. His doctoral research was conducted in the Department of Neuroscience, focusing on neuromuscular diseases, where he specialized in bioinformatics and continues to work in the same field. Daniele holds a Second Level Professional Master’s degree in Omics Data Analysis, obtained in September 2022. Additionally, he has completed his first year as a specializing student at the Postgraduate School of Medical Statistics and Biometry at the Unit of Biostatistics, Epidemiology, and Public Health (University of Padova). Bibliometric data: Scopus: citations 55, documents 8, h-index 3. His first publication was in 2020.

Dr. Matteo Martinato is a Post Doc Research Fellow at the University of Padova, PhD in biology and regenerative medicine, coordinates the Laboratory of Nursing Research at the Unit of Biostatistics, Epidemiology, and Public Health (UBEP), University of Padova (Italy). Senior lecturer in Bioethics and Research Methodology, former member of the Independent Ethics Committee of Padova University Hospital. His field of research includes Ethics, Gastroenterology, Wound Care and Nursing. Principal author and co-author in several original research papers (more than 1700 citations, H index 13). Peer reviewer of several international scientific journals and member of several scientific society. Former member of the scientific committee of Journal of Health Care Education in Practice (HCEP). Organizer of several meetings, congresses, and educational activities, especially on nursing and IBD. Invited lecturer at several conferences. He has been awarded with the N-ECCO grant (2024 – 20.000,00 Euro) and with the AMICI ONLUS clinical research grant (2010 – 48.000,00 Euro) financing two research projects in Inflammatory Bowel Disease. His hard skills include Epidemiology, Pharmacovigilance, Clinical research, Monitoring and auditing, Standard Operative Procedures production and assessment, Data collection, GCP training, Clinical Trial Application process, Clinical Research Protocol writing including ICFs, Clinical Trial Contracts, Agreements, Budget assessment, Ethical expertise, Scientific writing.

Dr. Giorgia Stoppa is currently a postdoctoral researcher at the Department of Cardiac, Thoracic, Vascular Sciences and Public Health at the University of Padua. She did her PhD in Biostatistics and Clinical Epidemiology at the Department of Cardiac, Thoracic, Vascular Sciences and Public Health at the University of Padua. Stoppa gained a Second-level university Master’s in Epidemiology at the University of Turin and an MSc in Health Economics at the Catholic University of the Sacred Heart in Rome. Stoppa’s current domain of research is statistical methods for environmental epidemiology and epidemiological surveillance. Particular interest has been placed on Bayesian modeling of disease risk with reference to geographic, spatio-temporal analyses.

Junior experts

Maria Vittoria Chiaruttini is a second year Ph.D student in biostatistics and clinical epidemiology at the Unit of Biostatistics, Epidemiology, and Public Health, University of Padova, Italy. She has received her master’s degree in Biostatistics from the University of Milan-Bicocca in 2021 and has worked for almost two years as a biostatistical research consultant in Laboratory of Clinical Research Methodology, Department of Oncology at Mario Negri Institute, Milan, Italy. She has worked mainly in the field of non-small-cell lung cancer, mainly to investigate the microRNAs dynamics in reflecting the response to immunotherapy, in observational settings, in collaboration with National Tumour Institute (INT), located in Milan. Currently, her PhD project focuses on advanced topics in clinical trial design and analysis both in cardiovascular and oncological confirmatory studies. Her field of interest includes group sequential designs and multiple hypothesis testing, historical information borrowing in new evidence, and response adaptive randomization.

Noor Muhammad Khan is a PhD student of Biostatistics and Clinical Epidemiology at the Unit of Biostatistics, Epidemiology and Public Health (UBEP), within the Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova. He has an excellent track record of conducting research focusing on Biostatistics, Clinical Trials, Longitudinal Data Analysis, Epidemiology, Survival Data Analysis, Generalized Linear Models, Generalized Linear Mixed Models, and Statistical Computing with R that makes his resolute to be a part of world-class project. He is also currently serving as an Assistant Professor of Statistics at Mawlana Bhashani Science and Technology University in Bangladesh with a wealth of academic experience as a Biostatistician. He is associated with several statistical data management and big data analysis projects. He published research works in renowned international journals and received international recognition for the research endeavors.

Cinzia Anna Maria Papappicco, a first year PhD student in “Translational Specialistic Medicine G.B. Morgagni” at the University of Padua with a project on “Translational readiness: new approaches for integration and analysis of near real-time streams of data from healthcare structured databases and unstructured data”. Starting from consolidated health data platform, my goal is to extend the integration with different types of data from heterogeneous data sources, in order to free up all the potential information contained in the data that declined as structured data (clinical data, prescriptions, medications, laboratory results) and unstructured data (real-time wearable device data, free-text data, radiological imaging data, biomechanical sensors data, omic data, environmental data, socioeconomic and psychological data) to transform near real-time data into real high-quality evidence that supports personalized patient care. My research focuses on strategies for managing data stream integration between heterogeneous sources, advanced machine learning techniques to optimize information extraction from unstructured data, and ethical-legal solutions to enable privacy-protected data flows. To delve into my research activity, I have so far acquired, through various clinical-academic projects, advanced skills: data management with REDCap (Research Electronic Data Capture) web application and cloud computing infrastructure administration, to automate the process of extracting high volume of real-time data from different sources and transforming it into a centralized database ensuring data integrity, and accurate results. My Academic background has its roots, after Classical Grammar School, in Bachelor’s Degree in Computer Science and Digital Communication with 110/110 cum LAUDE. My thesis was about “Interpolants and Quasi-Interpolants for Solving Ordinary Differential Equations”, carried out at the laboratory of Numerical Analysis of the National Institute of High Mathematics. Subsequently, I graduated in Science in Nursing with a thesis on “The nurse case manager in the new model of palliative care network” with 110/110 cum LAUDE and Academic mention. Later, I graduated in Management and Coordination of Health Professions as First-level short Specialisation Degree with a thesis about “Digital health care” with evaluation equal to Excellent. Afterwards again, I graduated in Science in Nursing and Midwifery with a thesis about “Level of knowledge and skills of nursing students regarding ostomy management” with 110/110 cum LAUDE. Recently I graduated in Research Methodology and Clinical Experimentation as Second-level Short Specialisation Degree at the University of Padua, with a focus on “Strategies for managing data stream integration with REDCap” with evaluation equal to Excellent.

Gloria Brigiari MD, is a medical resident in Health Statistics and Biometrics at the Unit of Biostatistics, Epidemiology and Public Health (UBEP), within the Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Italy. After receiving her Medicine and Surgery Degree from University of Perugia in 2020, she worked in the field of Public Health in Bolzano (Italy) until 2022. Her main research interests include analyses of observational clinical data, survival analysis, longitudinal data and missing data handling.

Ajsi Kanapari is a PhD student in Biostatistics and Clinical Epidemiology, currently involved in the UBEP, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, UNIPD. She is involved in the design and analysis of Clinical Trials and in analysis observational studies, involving traditional statistics but also more advanced techniques such as Machine Learning. Moreover, she has prior experience in the onco-hematology field in a multidisciplinary team, where she has conducted mainly biostatistical analysis of clinical data from both experimental and observational setting, additionally she has gained experience in the analysis of biological and genomic data.
Shinto Pulickal Thomas is a skilled and knowledgeable Biostatistician and Data Analyst who is currently pursuing his PhD in the Unit of Biostatistics, Epidemiology, and Public Health (UBEP) at the University of Padova. He has expertise in nutritional analysis and secondary data analysis, and he is also working as a Consultant Data Analyst at the Policy and Development Advisory Group in New Delhi, an Indian NGO that deals with real data related to migration and health hazards. Thomas has acquired a proven skillset in using statistical software such as STATA, SPSS, R, and PowerBI through his academic and professional experiences. As a research fellow, he has been involved in various projects that include Mediation Analysis, Survival Analysis, Nutritional Transition, Anthropometric Data, and Accelerometric Data analysis.

Aqsa Ali is currently pursuing her PhD course in Translational Specialistic Medicine “G.B. Morgagni”. She is actively engaged in research within the field of Biostatistics and Clinical Epidemiology at UBEP, in the Department of Cardiac, Thoracic, Vascular Sciences, and Public Health at UNIPD. She has been engaged in diverse research projects which increased her interest in a multidisciplinary approach. She was involved in a national-level project under the title “Forecasting on Imports and Exports of Pakistan using Time Series Analysis”. Where she had the opportunity to learn and apply a range of statistical models to forecast the values. Her interest in studying statistics with a special focus on public health has led her to consider biostatistics as a career. As a result, she has published four research articles, conducting Meta-analyses and Systematic Reviews on Diabetes-related topics, including the Prevalence of type-2 diabetes and prediabetes in Malaysia: A systematic review and meta-analysis, The prevalence of foot ulcers in diabetic patients in Pakistan: a systematic review and meta-analysis, The prevalence of type-2 diabetes and prediabetes in Sri Lanka: a systematic review and meta-analysis, and the prevalence of Peripheral neuropathy among the patients in Pakistan: a systematic review and meta-analysis. During this research, she gained expertise in applying and developing statistical methodology on public health. Moreover, her exploration of Artificial Intelligence course has significantly enriched her knowledge base. She has experience with many statistical software such as SPSS, Mathematica, Minitab, EViews, RStudio, and Python. Besides her technical skills, education entirely conducted in English has equipped her with strong verbal and written communication abilities.

Allegra Sartore is a PhD student in the field of biostatistics and clinical epidemiology, within the doctoral program in Translational Medicine “G.B. Morgagni” at the University of Padova. After completing her Bachelor’s degree in Statistics and Mathematics at the University of Bologna with a thesis in Statistics for Economics, she graduated from the same university with a Master’s degree in Biostatics in 2023 with a master thesis in the field of clinical epidemiology, written after the completion of an internship in the Biostatistics Department of a Clinical Research Organization in Germany. The main topics of research of her PhD concern geospatial statistics and in particular the study of mortality and incidence from asbestos-related diseases in Italian regions.

Francesca Angioletti, Data Manager and Quality Assurance, she has experience in managing numerous national and international clinical trials. Her tasks encompass overseeing all stages of studies, from inception to conclusion, with a focus on maintaining quality standards and adherence to regulatory requirements. During the initial stages, she develops study budgets tailored to meet the specific requirements of sponsors and principal investigators. Subsequently, she oversees regulatory tasks essential for study implementation, including documentation preparation, ethics committee submissions, and reporting. She holds expertise in developing and designing electronic case report forms and managing data collection throughout the study execution. Administratively, she manages contracts with participating hospitals or companies, as well as oversees service payments. Furthermore, she oversees the implementation of quality plans for studies, monitoring progress towards objectives, while adhering to the Standard Operating Procedures (SOPs) with applicable regulation and current ISO.


Chiara Giarracca, MA, is a member of the administrative team at UBEP, which is part of the Department of Cardiac, Thoracic, Vascular Sciences, and Public Health at UNIPD. She speaks Italian, English, French, and at a basic level, Spanish. She joined the team in December 2022 and has since specialized in project management. She has been involved in managing both national and international internal projects (especially with Latin America, Spain, and Germany) as well as external projects, contributing to the management of tenders for the European Centre for Disease Prevention and Control(ECDC). Additionally, she has been responsible for the quality control of the Residency School in Health Statistics and Biometrics, achieving ISO 9001:2015 certification for two consecutive years.