Sajib Acharjee Dip

Welcome!

I am a Computer Science Ph.D. student at Virginia Tech, advised by Professor Liqing Zhang. My research spans large language models, post-training and reinforcement learning, multimodal learning, and agentic AI, with applications in biology, medicine, and scientific discovery.

I build verifier-guided learning methods, tool-using agents, foundation-model systems, and scalable Python/PyTorch pipelines. My recent biological AI work studies computational pathology, single-cell perturbation modeling, multi-omics integration, and reliable scientific agents.

Recent news

Jul 2026LLM4Cell was published at ACL 2026.
Jun 2026CFM-GP was published in NAR Genomics and Bioinformatics.
Jun 2026Two papers on computational pathology and gene perturbation modeling were published at ACM BCB 2026.
May 2026Our community perspective on cross-species plant single-cell analysis was published in Journal of Experimental Botany.
May-Aug 2026AI Research Intern at Genentech, developing tool-using scientific agents and multimodal ML systems.
Mar 2026Our review of LLM agents for biological intelligence was published in Briefings in Bioinformatics.

Selected published work

See the complete curated list on the Publications page.