I am a PhD student in Biostatistics at the University of Washington, advised by Dr. Jeffrey T. Leek at Fred Hutchinson Cancer Center.
My research sits at the intersection of statistical inference and AI/ML. I develop methods and open-source software that help researchers draw valid conclusions when AI-predicted data stand in for observed outcomes. I also work on making deep learning tools accessible to clinical researchers who lack specialized programming backgrounds.
On the applied side, I collaborate with clinicians at Fred Hutch and MIT to develop multimodal deep learning models for clinical screening. I also have an active interest in public health research and regularly publish in areas including maternal health, child welfare, 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
- Summer 2026 – Incoming Senior Data Science Intern at Analysis Group, Boston, MA
- Mar 2026 – Poster presentation at THSNA 2026, Portland, OR
- Dec 2025 – Scorcher project featured in UW Biostatistics News
- Nov 2025 – Grant: Sloan Precision Oncology Technology Dissemination Award ($250,000) for the Scorcher project
- Jul 2025 – Quazi Motahar Hossain Award and Gold Medal, University of Dhaka
- Feb 2025 – ipd R package published in Bioinformatics