����������

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., Sowrin, M. Snigdha. and Buro, A. W.. (2026). Age and Race Differences in the Association Between Social Support and Leisure-Time Physical Activity Among Adults With Cognitive Difficulty: Evidence From the 2023 BRFSS. American Journal of Health Promotion.

Chakraborty, A. and Bashar, A. (2026). The crucial role of machine learning models in predicting current childhood asthma: model comparison, calibration, and SHAP-based interpretation. Frontiers of Public Heath.

Chakraborty, A. and Nicklett, E. J. (2026). Understanding Drivers of Physical Activity Through Explainable Machine Learning: The Role of Disability and Social Determinants. Journal of Physical Activity and Health , pp. 1-4.

Jesmin, S. and Chakraborty, A. (2026). The Moderating Role of Social and Emotional Support in the Association Between Adverse Childhood Experiences and Adult Mental Health Across Racial Groups: the Need for Investing in Social Capital. Journal of Racial and Ethnic Health Disparities .

Mueller, J., Sapp, J., Attonito, J., Chakraborty, A. and Villalba, K. (2026). Substitution of Cannabis for Prescribed Medications in the Management of Anxiety and Depression Among Midlife Women: A Cross-Sectional Study. Health Science Reports.

Attonio, J., Mueller, J., Villalba, K. and Chakraborty, A. (2026). Cannabis for Harm Reduction: Exploring Mental Health and Other Motivational Factors among Adults at Risk for Alcohol Use Disorder in Florida. Substance Use & Misuse.

Moges, E., Rochez, N., Peycha, W. and Chakraborty, A. (2026). The Impact of Substance Abuse Problems and Serious Mental Illness/Serious Emotional Distress on Post-Discharge Residential Status Among Clients With Behavioral and Cognitive Disorders: Evidence From SAMHSA MH-CLD Data. Public Health Challenges 5 (2) , pp. e70218.

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.

Ijaz, A., Gehris, M. E.., Harrell, P. T.., Chakraborty, A., Jebai, R., Li, W., Osibogun, O., Alemohammad, S. Yasaman., Taleb, Z. Ben. and Kalan, E. (2025). Patterns of exclusive, dual and poly tobacco products use among cancer survivors in the United States. Journal of Cancer Survivorship.

(2025). Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990-2023. AMERICAN COLLEGE OF CARDIOLOGY FOUNDATION.

(2025). The global, regional, and national burden of cancer, 1990–2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023. THE LANCET.

Chakraborty, A. and Pant, M. D.. (2025). Analyzing the Centers for Disease Control and Prevention Mortality Data Using Weekly Exceedance in Mortality Count and Weekly Change in Mortality Indicator: A Time Series Study. Health Science Reports 8 (9).

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. (2024). A Stock Optimization Problem in Finance: Understanding Financial and Economic Indicators through Analytical Predictive Modeling. Mathematics 12 (15) , pp. 2407.

Chakraborty, A. and P. Tsokos, C. (2023). A Modern Analytical Approach for Assessing the Treatment Effectiveness of Pancreatic Adenocarcinoma Patients Belonging to Different Demographics and Cancer Stages. Journal of Cancer Research and Treatment 11 (1) , pp. 13-18.

Ebrahimi Kalan, M., Jebai, R., Li, W., Gautam, P., Alemohammad, S. Yasaman., Mortazavizadeh, Z., Kenneth, D. Ward., Chakraborty, A., Dargahi Abbasabad, G., Behaleh, R., Bursac, Z. and Ben Taleb, Z. (2023). COVID‐19 and tobacco products use among US adults, 2021 National Health Interview Survey. Health Science Reports 6 (9).

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

Chakraborty, A. (August , 2026). Causal Impacts of Disability Types on Exercise Participation: Insights from CDC Behavioral Risk Factor Surveillance System Oral Presentation Joint Statistical Meeting Boston.

Chakraborty, A. (August 14, 2026). Understanding Cancer Information Burden and Quality Concerns: The roles of medical statistics literacy, online health information confidence, and social media Oral Presentation 5th Annual Conference on the Frontiers of Statistics Tampa, FL.

Chakraborty, A. (May 7, 2026). Advancing Statistical Literacy in Public Health: Understanding How Cancer Information Complexity Shapes Learning Needs Using HINTS 2022 Poster Educational Scholarship Day Norfolk.

Chakraborty, A. (September 11, 2025). A Modern Analytical Method to Forecast Cerebrovascular Diseases (CD), and Heart Diseases (HD) using Multivariate Time Series Model utilizing the CDC Provisional Mortality Data Poster Cardiovascular Research Symposium Norfolk, VA.

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