Sayantan Chakraborty
Portrait of Sayantan Chakraborty

Sayantan Chakraborty

Undergraduate Researcher · Health Economics

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About

I'm an undergraduate senior at the University of Dhaka currently pursuing a B.S.S. in Health Economics. My work sits at the intersection of economics, data science, and health. I'm especially interested in using statistical methods, machine learning models, and large language models to answer applied questions in health economics and public health. I currently work as an Undergraduate Research Assistant under Prof. Lester R. Lusher at the University of Pittsburgh, and as an Undergraduate Research Assistant in Kinesiology under Sadia Anjum Ashrafi at Iowa State University, and collaborate on several interdisciplinary AI-for-science and AI-for-health projects.

Education

University of Dhaka, Dhaka, Bangladesh

09/2023 – 11/2027 (Expected)

B.S.S. in Health Economics

Work Experience

Undergraduate Research Assistant in Behavioral Economics

12/2024 – Present

University of Pittsburgh, Pittsburgh, USA · Advisor: Lester R. Lusher

  • Extracted and analyzed large-scale Google Trends data to support the replication of major economics papers.
  • Developed Stata scripts to automate pairwise correlation analysis and efficiently manage missing data points.
  • Built Python-based web scraping pipelines to collect author-level metadata (institutional affiliations, publication records, and citation metrics) across peer-reviewed economics journals to support large-scale reproducibility analysis.
  • Leveraged language learning models to analyze linguistic patterns in paper titles across altmetric score categories.
  • Curated and cross-referenced extensive datasets in Excel, ensuring high data accuracy and integrity.
  • Developed scalable data preparation methods, coordinating with stakeholders to improve analysis workflows.

Undergraduate Research Assistant in Kinesiology

08/2026 – Present

Iowa State University, Ames, USA · Advisor: Sadia Anjum Ashrafi

  • Curated and cleaned datasets from behavioral and community-based physical activity intervention studies to support ongoing kinesiology research.
  • Contributed to manuscript writing and literature review for kinesiology-related research outputs.

Publications

  1. Leveraging Temporal Distribution Shifts for Rice Disease Detection Islam, M. R., Chakraborty, S., Bhattacharjee, U., Roy, T. 3rd IEEE International Conference on Computing, Applications and Systems (COMPAS 2026) · October 2026
  2. Toward Uncertainty Quantification in Modern Art Roy, T., Bhattacharjee, U., Saha, S. K., Chakraborty, S., Howlader, K., Bhattacharjee, T. arXiv preprint arXiv:2608.04038 · August 2026
  3. TRAPS: Therapeutic Response Analysis via Pathway-informed Stratification Banik, S., Chakraborty, S., Das Toma, B., Ghafoor, Z., Bhattacharjee, U., Howlader, K., Roy, T. Accepted, 4th International Conference on Computing Advancements (ICCA 2026) · October 2026
  4. Intelligent Health Intervention System for Syndemic Management Among University Students: An AI-Driven Approach Using Reinforcement Learning Chakraborty, S., Mouno, M., Bhattacharjee, T., Roy, T., Bhattacharjee, U., Pretom, S. C., Roy, A. Accepted for oral presentation, AAAI 2026 Spring Symposium Series (accepted, not presented)
  5. Benchmarking Bioemulation-1: Establishing a Baseline for Protein Structural Ensemble Prediction Bhattacharjee, U., Roy, T., Howlader, K. C., Chakraborty, S., Bhattacharjee, T., Roy, A. 2025 AIChE Annual Meeting, Boston, MA · November 2025
  6. EmissAI: LLM-Powered Analysis of Carbon Footprint Bhattacharjee, U., Roy, T., Bhattacharjee, T., Saha, U., Chakraborty, S., Roy, A. 2025 AIChE Annual Meeting, Boston, MA · November 2025
  7. Enhancing Medical AI Safety Through Multi-Agent Evaluation and Iterative Refinement Ghafoor, Z., Islam, M. S., Howlader, K., Khondokar, M. R., Bhattacharjee, T., Chakraborty, S., Roy, A., Bhattacharjee, U., Roy, T. 16th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2025), Philadelphia, PA · October 2025
  8. Unveiling Literary Depth: Leveraging LLaMA-Based NLP for Advanced Analysis of Popular Novels Roy, T., Chakraborty, S., Bhattacharjee, U. Accepted for presentation, DULC 2025 Conference, University of Dhaka · 2025
  9. LlamaHealth: Assessing LLaMA's Performance in Multi-Class Healthcare Test Result Prediction Bhattacharjee, U., Roy, T., Pretom, S. C., Kaium, A., Chakraborty, S., Roy, A. 8th International Conference on Engineering Research, Innovation and Education (ICERIE 2025) · April 2025
  10. George Washington Carver "I Can" Poster Challenge Bhattacharjee, U., Roy, T., Chakraborty, S., Roy, A. Best-in-Show award, Ames, Iowa, USA · February 2025
  11. Evaluating the Impact of Vaccination Programs on Rubella Incidence: A Statistical Approach Chakraborty, S., Bhattacharjee, U., Roy, T., Roy, A. RURS 1st International Student Conference and Research Fair 2024, University of Rajshahi
  12. AI-Driven Food Price Inflation Prediction and Country Clustering via LLMs Bhattacharjee, U., Chakraborty, S., Roy, T. Norman Borlaug Poster Competition, Iowa State University · October 2024

Awards

  1. Won the Best-in-Show Award at a national poster challenge held in Ames, Iowa, USA. February 2025

Contact

Email: sayantan-2022914514@ihe.du.ac.bd
Personal Email: sayantan14p@gmail.com
Phone Number: +880 1306-480324