Health Data Scientist & Research Assistant at Shahjalal University of Science and Technology. Published in BMC Women’s Health, Health Science Reports, JAD Reports. Advancing spatial ML, reproductive health equity, and causal inference for LMICs.
B.Sc. Statistics (Honours) · Shahjalal University of Science and Technology
Major GPA: 3.50-4.00/4.00 (final year)
I am a biostatistician and health data scientist determined to translate complex epidemiological data into policy-relevant insights. My research agenda focuses on spatial epidemiology, maternal mental health, and explainable machine learning for global health disparities — especially in low-resource settings.
I currently serve as a Research Assistant at Biostatistics, Epidemiology & Public Health Research Group (SUST) and collaborate with ELITE Research Lab (Generative AI & XAI) and Cognitive Solution Bangladesh. I am a peer reviewer for Cambridge University Press & Assessment and have facilitated international workshops on DHS data analysis (R/RStudio).
With 6+ peer-reviewed papers (including first-author in Health Science Reports, JAD Reports), I aspire to pursue a fully-funded PhD in Biostatistics / Epidemiology to advance data-driven health equity using causal inference and spatial ML.
Selected works from global health surveys (DHS, MICS) — reproducible code and open science principles.
Biostatistics, Epidemiology & Public Health Group · Multi-country DHS analysis (Bangladesh, Nepal, Lesotho). Developed spatial ML workflows.
Cambridge University Press & Assessment (Global Mental Health). Verified via Web of Science Reviewer Recognition.
BIIHR International Free Workshop 2026: “Epidemiological data analysis with R & DHS” (3h bilingual session).
Research Assistant (XAI, Generative AI, Computer Vision). Contributing to interpretable AI for clinical risk prediction.
Data Hackathon, IT Fest 2024, Comilla University — excellence in data science & analytics.
ISCB RSG-Bangladesh 2025, scientific writing in computational biology.
Coursera · IBM Data Analysis with R · SQL for Analytics · Cloud Foundation.
Field-Based Research (BARD, 2026) · Research Training Program (MKCRD).
R Shiny app for Buriganga River monitoring (WQI, spatial hotspots). Live Demo →
Collaborative filtering deployed on Hugging Face Spaces.
Hypothesis tests, regression, probability distributions — Shiny app.
I am actively seeking funded PhD positions in Biostatistics, Spatial Epidemiology, or Global Health Data Science. Feel free to reach out.