Graduate Research Assistant & M.S. Student in Computer Science
About
I am an M.S. student and Graduate Research Assistant in Computer Science at Georgia Southern University. My research connects natural language processing and scientific image analysis: I study how language models interpret clinically meaningful signals in online mental-health discourse, and I develop computational methods for analyzing cryo-EM and cryo-ET data.
My broader interests include reliable LLM evaluation, low-resource language technology, deep-learning-based segmentation, and reproducible research pipelines. I enjoy working across disciplinary boundaries where machine learning can make complex scientific data more interpretable and useful.
- Clinical and Social NLP
- Large Language Models
- Computational Structural Biology
- Cryo-EM and Cryo-ET Image Analysis
- Low-Resource Language Processing
M.S. in Computer Science
Georgia Southern University
B.Sc. in Computer Science and Engineering
Independent University, Bangladesh
I build machine-learning systems for two complementary research areas. In clinical and social NLP, I study LLM evaluation, demographic information extraction, and the contextual interpretation of mental-health discourse. In biomedical image analysis, I work with cryo-EM and cryo-ET data to develop reproducible pipelines for segmentation, model-map validation, and structural analysis.
My goal is to develop careful, interpretable methods that connect strong computational modeling with meaningful scientific questions.
Peer-reviewed work spanning clinical NLP, language-model evaluation, low-resource NLP, and cryo-electron tomography.
Current and selected research directions.