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.

LLM reasoning & post-trainingAI agentsMultimodal learningComputational biologySingle-cell & spatial omicsAI for medicine

Recent news

Aug 2026 Talk Presented an agent harness poster at the Agentic AI Summit, UC Berkeley.
Jul 2026 Talk Presented LLM4Cell at ACL 2026, San Diego. Selected as a volunteer.
Jun 2026 Paper CFM-GP published in NAR Genomics and Bioinformatics.
Jun 2026 Paper Two papers published at ACM BCB 2026: pathology and gene perturbation.
May 2026 Paper Plant single-cell perspective published in J. Experimental Botany.
May 2026 Role Started as AI Research Intern at Genentech.
Mar 2026 Paper LLM agents review published in Briefings in Bioinformatics.
Feb 2026 Talk Co-authored a gastrointestinal disease detection paper at ICCABS 2026, NC State. Got a $500 travel award.
Show older news
Dec 2025 Talk Presented ProtFunAgent and MoXGATE at NeurIPS 2025, San Diego.
Nov 2025 Talk Presented MoXGATE at CVCRC, Richmond. Got a $300 travel award.
Summer 2025 Service Moderated the Plant Single Cell Analysis Workshop, Virginia Tech.
May 2025 Role Joined Labcorp as Summer Research Intern.
Apr 2025 Talk Presented DeepAge and PathoLM at the CCI Symposium, Richmond. Got a $300 travel award from GPSS.
Mar 2025 Talk Presented DeepAge at AAAI 2025, Philadelphia. Got a travel award.

Education

Virginia TechAug 2023-present
Ph.D. in Computer Science
Advisor Dr. Liqing Zhang
Virginia TechAug 2023-Apr 2025
M.S. in Computer Science
GPA 4.00/4.00
B.Sc. in Computer Science and Engineering

Work Experience

GenentechMay-Aug 2026
AI Research Intern
Multi-agent LLM systems for reliable biotech research workflows.
Virginia TechMay 2024-present
Graduate Research Assistant
LLM reasoning, post-training, multimodal models, and AI agents for biology.
LabcorpMay-Aug 2025
Summer Research Intern
Machine-learning pipelines for genomic and clinical data.
IQVIAMay 2022-Jul 2023
Machine Learning Engineer
Predictive models and data pipelines for large healthcare datasets.
Harvard UniversityMay 2022-Jan 2023
Research Intern
Semi-supervised learning for biomedical and visual data.
Research Intern
Deep learning for large 2D and 3D imaging data.

Publications

Journal Articles

Abrar Rahman Abir*, Sajib Acharjee Dip*, Liqing Zhang (* Equal contribution)
NAR Genomics & Bioinformatics 2026 Paper
Maryam Haghani, Tran N. Chau, Razan Alajoleen, Chia-Yu Chen, Sajib Acharjee Dip, Vandana Gurung, Che-Wei Hsu, Chadinthon Kittivorawong, Sanchari Kundu, Xiaohui Li, Juncheng Luo, Mohammad Salehin, Mathew Simenc, Jie Yun, Bastiaan O. R. Bargmann, Song Li
J. Experimental Botany 2026 Paper
Sajib Acharjee Dip, Dipanwita Mallick, Uddip Acharjee Shuvo, Shovito Barua Soumma, Fazle Rafsani, Bikash Kumar Paul, Nazifa Ahmed Moumi, Shafayat Ahmed, Liqing Zhang
Briefings in Bioinformatics 2026 Paper
Abrar Rahman Abir, Sajib Acharjee Dip, Liqing Zhang
Briefings in Bioinformatics 2025 Paper

Conference Papers

Sajib Acharjee Dip, Adrika Zafor, Bikash Kumar Paul, Uddip Acharjee Shuvo, Muhit Islam Emon, Xuan Wang, Liqing Zhang
ACL 2026 (Main) Paper
Sajib Acharjee Dip, Liqing Zhang
ACM BCB 2026 Paper Code
Sajib Acharjee Dip, Liqing Zhang
ACM BCB 2026 Paper Code
Adrika Zafor, Sajib Acharjee Dip, Liqing Zhang
FLAIRS 2026 Paper
Anik Dev Nath, Md Al Amin, Sajib Acharjee Dip, Mahjebin Jerin, Bikash Kumar Paul, Touhid Bhuiyan
IEEE WIECON-ECE 2025 Paper
Md Kawsar, Dilruba Shareen, Sajib Acharjee Dip, Ram Prosad Sarker, Bikash Kumar Paul, Touhid Bhuiyan
IEEE WIECON-ECE 2025 Paper
Uddip Acharjee Shuvo, Sajib Acharjee Dip, Nirvar Roy Vaskar, A. B. M. Alim Al Islam
NSysS 2024 Paper
Sajib Acharjee Dip, Kazi Hasan Ibn Arif, Uddip Acharjee Shuvo, Ishtiaque Ahmed Khan, Na Meng
AAAI Symposium 2024 Paper
Sajib Acharjee Dip, Da Ma, Liqing Zhang
AAAI Symposium 2024 Paper
Sajib Acharjee Dip, Uddip Acharjee Shuvo, Tran Chau, Haoqiu Song, Petra Choi, Xuan Wang, Liqing Zhang
MLCB 2024 Paper Code

Book Chapters

Mostofa Rafid Uddin, Sajib Acharjee Dip, Rajat Aayush Jha, Xiangrui Zeng, Min Xu
Book chapter, Elsevier 2025 Paper

Preprints and Workshop Papers

Sajib Acharjee Dip, Dawei Zhou, Liqing Zhang
arXiv 2026 Paper
Kazi Noshin, Sajib Acharjee Dip, Ranat Das Prangon, Fardin Hassan Tamim, Syed Ishtiaque Ahmed, Liqing Zhang, Sharifa Sultana
arXiv 2026 Paper
Sajib Acharjee Dip, Song Li, Liqing Zhang
arXiv 2026 Paper
Sajib Acharjee Dip, Liqing Zhang
ICLR 2026 Workshop (MLGenX) Paper
Sajib Acharjee Dip, John Choy, Liqing Zhang
NeurIPS 2025 Workshop (Spotlight) Paper
Sajib Acharjee Dip, Liqing Zhang
bioRxiv 2025 Paper
Sajib Acharjee Dip, Uddip Acharjee Shuvo, Dipanwita Mallick, Abrar Rahman Abir, Liqing Zhang
NeurIPS 2025 Workshop (GenAI4Health) Paper
Sajib Acharjee Dip, Tran Chau, Song Li, Liqing Zhang
ICLR 2025 Workshop (MLGenX) Paper
Kazi Hasan Ibn Arif, Sajib Acharjee Dip, Khizar Hussain, Liqing Zhang, Chris Thomas
CVPR 2025 Workshop Paper
Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang
arXiv 2024 Paper

Abstracts

Soumyadipto Biswas Arko, Utsow Saha, Sajib Acharjee Dip
Circulation 2025 (Abstract) Paper

Professional Memberships

Association for Computational Linguistics (ACL)Student Member Present
Association for Computing Machinery (ACM)Student Member Mar 2026-present
Institute of Electrical and Electronics Engineers (IEEE)Student Member Apr 2026-present
IEEE Engineering in Medicine and Biology Society (EMBS)Student Member May 2026-present

Funding: My research is supported by NSF Awards 2125798, 2344169, 2319522 and 2004751, and NIH Grant 1R01AI179686.