I am a PhD student in Biostatistics at the University of Washington, advised by Dr. Jeffrey T. Leek at Fred Hutchinson Cancer Center. I expect to complete my PhD in 2028.
My research sits at the intersection of statistical inference and AI/ML. I develop methods and open-source software for settings where outcomes are measured, augmented, or replaced by model predictions. I also work on making deep learning tools easier to use in biomedical research.
On the applied side, I collaborate with clinicians and data scientists at Fred Hutch, MIT, and Harvard to develop multimodal models for pulmonary embolism screening. I also maintain an active public-health research portfolio in maternal health, child welfare, intimate partner violence, and communicable and non-communicable diseases across South Asia.
I hold a B.S. and M.S. in Applied Statistics from the Institute of Statistical Research and Training, University of Dhaka.
Recent highlights
- Sep 2026 – Invited seminar, “What do we do after we have machine-learned everything?”, at the Institute of Applied Statistics and Data Science (IASDS), University of Dhaka
- Aug 2026 – Completed my June–August internship as a Senior Data Scientist Intern at Analysis Group, Boston, working on digital-twin models, statistical inference, and healthcare provider networks
- Jul 2026 – Our study of hypertension and diabetes awareness in Bangladesh published in BMC Public Health
- Jun 2026 – Our pulmonary embolism screening abstract published in the THSNA 2026 Proceedings in American Journal of Hematology
- Apr 2026 – New methods preprint on penalized GEE variance estimation now on arXiv; companion R package pgeeVar released on GitHub
- Mar 2026 – Poster presentation at THSNA 2026, Portland, OR
- Dec 2025 – Scorcher project featured in UW Biostatistics News
- Nov 2025 – Grant: Stuart and Molly Sloan Precision Oncology Institute Technology Dissemination Award ($242,000 direct costs) for the Scorcher project
- Jul 2025 – Quazi Motahar Hossain Award and Gold Medal, University of Dhaka
- Feb 2025 – ipd R package published in Bioinformatics