PhD Scholar
RolesPhD (Current)
Research topicTranscriptomic Foundation Models | LLM Interpretability, Benchmarking & Gene Expression Representation
Education and Previous affiliationSoftware Intern, Gigaforce Software Pvt. Ltd.;
MSc in Data Science and Analytics, Central University of Rajasthan
My doctoral research focuses on Large Language Models(LLMs) and global patterns in gene expression data. The aims to determine if transcriptomic foundation models can learn biologically meaningful and interpretable representations from large gene expression datasets. The study will develop standardized benchmarking approaches for biological models across transcriptomic tasks. It will investigate the interpretability of representations, the intrinsic dimensionality of gene expression states, and the feasibility of a generalized Gene Expression Alphabet for simplified annotation. Additionally, the research will explore the integration of gene expression with other biological information to create a unified framework for evaluating transcriptomic LLMs.