Dr. Chakraborty is an Assistant Professor (Tenure-Track) in Data Science and Biostatistics in the Department of Epidemiology, Biostatistics, and Environmental Health at the Joint School of Public Health, 98. He is accomplished in leading interdisciplinary research, developing scalable analytical solutions, and applying data science to complex challenges in public health, biomedical sciences, cancer research, and health sciences. Dr. Chakraborty is recognized for bridging academic rigor with practical impact and driving innovation through data-centric methodologies.
In his current role, Dr. Chakraborty teaches graduate-level statistics and data science courses, providing students with essential analytical skills and methodological foundations. He also mentors graduate students in their research endeavors, guiding them through project development, statistical analysis, and the interpretation of complex datasets. Dr. Chakraborty's research encompasses a comprehensive spectrum of statistical and computational methodologies, with particular expertise in machine learning and probabilistic modeling in biomedical and public health applications.
His research addresses critical public health challenges through the strategic application of data-driven analytical methods across diverse domains, including cancer research, disability and mental health outcomes, chronic disease modeling, long-term impacts of adverse childhood experiences (ACEs), subjective well-being, substance use patterns including cannabis consumption and alcohol use disorders, as well as comprehensive analyses of social determinants of health.
Dr. Chakraborty's work addresses critical health disparities through comprehensive analyses of large-scale, nationally representative datasets, contributing to evidence-based approaches for improving population health outcomes and informing public health policy and practice.
Ph.D. in Data Science, UNIVERSITY OF SOUTH FLORIDA, (2022)
M.S. in Applied Statistics, University of West Florida, (2016)
M.Sc. in Mathematical Statistics, University of Kalyani, (2015)
B.Sc. in Statistics, University of Calcutta, (2013)
Research Interests
Parametric and non-parametric methods, Bayesian analysis, Machine learning, Explainable AI, Data mining, biostatistics, Survival analysis, Time series analysis, Epidemiological methods
Articles
Chakraborty, A. and Tsokos, C. (2026). A Stock Optimization Problem in Finance: Understanding Financial and Economic Indicators through Analytical Predictive Modeling. Mathematics 12 (15) , pp. 2407.Chakraborty, A. and Pant, M. (2025). Machine Learning Models for Pancreatic Cancer Survival Prediction: A Multi-Model Analysis Across Stages and Treatments Using the Surveillance, Epidemiology, and End Results (SEER) Database. Journal of Clinical Medicine 14 (13) , pp. 4686.Pant, M., Chakraborty, A. and Moudden, I. El. (2025). Modeling Non-Normal Distributions with Mixed Third-Order Polynomials of Standard Normal and Logistic Variables. Mathematics 13 (6) , pp. 1019.Chakraborty, A. and Pant, M. (2025). An Analytical Prior Selection Procedure for Empirical Bayesian Analysis Using Resampling Techniques: A Simulation-Based Approach Using the Pancreatic Adenocarcinoma Data from the SEER Database. Computation 13 (2) , pp. 51.Gehris, M., Ijaz, A. and Chakraborty, A. (2024). Epilepsy and nicotine use: Exploring disparities in ENDS and cigarette use among US adults with epilepsy. Epilepsy & Behavior.Chakraborty, A. and Tsokos, C. P.. (2023). An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting. Journal of Statistical Theory and Applications 22 (4) , pp. 262-282.
Book Chapters
Chakraborty, A. and Tsokos, C. (2025). Statistical Model for Pancreatic Cancer Disease Virginia, USA: Springer.
Presentations
Jesmin, S. and Chakraborty, A. ( 2024). Developing adverse childhood experience-informed mental health promotion programs: The need for investing in social capital Oral Presentation American Public Health Association (APHA) Minneapolis, MN.Chakraborty, A. and Spiers, L. ( 2024). Metabolomic Profiles of Metastatic Renal Cell Carcinoma Oral Presentation American Urological Association (AUA) .Chakraborty, A. ( 2024). Building Classification Models for Early Detection of Asthma in Children for the US Population based on the Behavioral Risk Factor Surveillance System (BRFSS) Oral Presentation Joint Statistical Meeting (JSM) Meeting .Chakraborty, A. ( 2024). Exploring the Association between Mental Health Disorder and Substance Abuse Problem for Veterans across the Residential, and Employment Status in the United States: A Cross-sectional Study Poster Society of Epidemiologic Research (SER) Boston, MA.Chakraborty, A. ( 2024). The Crucial Role of Predictive Models in Childhood Asthma care: Improving Outcomes Through Data-Driven Insights Poster Society of Epidemiologic Research (SER) Boston, MA.Chakraborty, A. ( 2023). A modern analytical approach for the computation of probabilities using CDC provisional counts of deaths by selected causes Poster American Public Health Association Atlanta, GA.Chakraborty, A. and Tsokos, C. ( 2023). Analytical approach of monitoring the behavior of patients with pancreatic adenocarcinoma at different stages as a function of time Oral Presentation Biology and Medicine through Mathematics (BAMM) at Virginia Commonwealth University Richmond, VA.Chakraborty, A. ( 2023). An analytical procedure of selecting prior for Empirical Bayesian Analysis using resampling techniques: An evidence-based approach using SEER Database Oral Presentation Symposium on Data Science and Statistics (SDSS) St. Louis, MO.Chakraborty, A. and Tsokos, C. ( 2022). A Stochastic Analytical Model for Monitoring the Behavior of Pancreatic Cancer Patients at Different Stages as a function of time Oral Presentation Annual Meeting of the Conference of Southern Graduate Schools, Raleigh, NC.Chakraborty, A. ( 2021). Survival Analysis of Patients with Pancreatic Cancer.” Oral Presentation American Statistical Association (ASA)–Florida Chapter Tampa, FL.Chakraborty, A. and Tsokos, C. ( 2021). A Real Data-Driven Clustering Approach For Countries based on Happiness Score. Oral Presentation The 4th International Conference on Economics and Social Sciences 2021-Resilience and Economic Intelligence Through Digitalization and Big Data Analytics Bucharest University of Economic Studies, Romania.Chakraborty, A. ( 2019). Empirical Bayesian analysis using re-sampling techniques to estimate prior Poster Nano-Florida International Conference University of South Florida, College of Public Health.
- 2024: Professional Enrichment Grant (PEG), Eastern Virginia Medical School
- 2021: Tharp Endowed Award: Outstanding Graduate Student Scholarship, University of South Florida
- 2021: The Three Minute (3MT) Thesis Competition, University of South Florida
- 2020: Tharp Endowed Award: Outstanding Graduate Student Scholarship, University of South Florida
- 2019: M.V Johns Junior Scholarship, University of South Florida