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.
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Education
Work Experience
Publications
Journal Articles
@article{abir2026cfmgp,
title = {CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types},
author = {Abir, Abrar Rahman and Dip, Sajib Acharjee and Zhang, Liqing},
journal = {NAR Genomics and Bioinformatics},
volume = {8},
number = {3},
pages = {lqag087},
year = {2026},
doi = {10.1093/nargab/lqag087}
}@article{haghani2026crossspecies,
title = {Cross-species plant single-cell analysis: community challenges and shared solutions},
author = {Haghani, Maryam and Chau, Tran N. and Alajoleen, Razan and Chen, Chia-Yu and Dip, Sajib Acharjee and Gurung, Vandana and Hsu, Che-Wei and Kittivorawong, Chadinthon and Kundu, Sanchari and Li, Xiaohui and Luo, Juncheng and Salehin, Mohammad and Simenc, Mathew and Yun, Jie and Bargmann, Bastiaan O. R. and Li, Song},
journal = {Journal of Experimental Botany},
pages = {erag218},
year = {2026},
doi = {10.1093/jxb/erag218}
}@article{dip2026llmagents,
title = {Large Language Model Agents for Biological Intelligence Across Genomics, Proteomics, Spatial Biology, and Biomedicine},
author = {Dip, Sajib Acharjee and Mallick, Dipanwita and Shuvo, Uddip Acharjee and Soumma, Shovito Barua and Rafsani, Fazle and Paul, Bikash Kumar and Moumi, Nazifa Ahmed and Ahmed, Shafayat and Zhang, Liqing},
journal = {Briefings in Bioinformatics},
volume = {27},
number = {2},
pages = {bbag110},
year = {2026},
doi = {10.1093/bib/bbag110}
}@article{abir2025uncotad,
title = {UnCOT-AD: Unpaired Cross-Omics Translation Enables Multi-Omics Integration for Alzheimer's Disease Prediction},
author = {Abir, Abrar Rahman and Dip, Sajib Acharjee and Zhang, Liqing},
journal = {Briefings in Bioinformatics},
volume = {26},
number = {4},
pages = {bbaf438},
year = {2025},
doi = {10.1093/bib/bbaf438}
}Conference Papers
@inproceedings{dip2026llm4cell,
title = {LLM4Cell: Taxonomy and Evaluation of LLM and Agentic Models for Single-Cell Biology},
author = {Dip, Sajib Acharjee and Zafor, Adrika and Paul, Bikash Kumar and Shuvo, Uddip Acharjee and Emon, Muhit Islam and Wang, Xuan and Zhang, Liqing},
booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
pages = {41913--41954},
year = {2026},
publisher = {Association for Computational Linguistics},
doi = {10.18653/v1/2026.acl-long.1942}
}@inproceedings{dip2026stableshift,
author = {Dip, Sajib Acharjee and Zhang, Liqing},
title = {Stable-Shift: Predicting Transcriptional Responses of Unseen Gene Perturbations Using Graph Neural Networks with Biological Priors},
booktitle = {Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics},
year = {2026},
articleno = {101},
numpages = {6},
doi = {10.1145/3807503.3820871}
}@inproceedings{dip2026patch,
author = {Dip, Sajib Acharjee and Zhang, Liqing},
title = {Patch-Level Tissue Context Improves Learning from Frozen Pathology Foundation Model Embeddings},
booktitle = {Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics},
year = {2026},
articleno = {72},
numpages = {6},
doi = {10.1145/3807503.3820870}
}@inproceedings{zafor2026oncomark,
title = {OncoMark: A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text},
author = {Zafor, Adrika and Dip, Sajib Acharjee and Zhang, Liqing},
booktitle = {The International FLAIRS Conference Proceedings},
volume = {39},
number = {1},
year = {2026},
doi = {10.32473/flairs.39.1.141834}
}@inproceedings{nath2025leukemia,
title = {Subtype-Specific Biomarker Discovery in Leukemia: Bridging Expression Profiling and Machine Learning},
author = {Nath, Anik Dev and Amin, Md Al and Dip, Sajib Acharjee and Jerin, Mahjebin and Paul, Bikash Kumar and Bhuiyan, Touhid},
booktitle = {2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)},
pages = {1126--1131},
year = {2025},
publisher = {IEEE},
doi = {10.1109/wiecon-ece69386.2025.11526172}
}@inproceedings{kawsar2025hmpv,
title = {Integrated Multi-Omics Network Pharmacology Uncovers Novel Biomarkers and Therapeutic Candidates in Human Metapneumovirus Infection},
author = {Kawsar, Md and Shareen, Dilruba and Dip, Sajib Acharjee and Sarker, Ram Prosad and Paul, Bikash Kumar and Bhuiyan, Touhid},
booktitle = {2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)},
pages = {1061--1066},
year = {2025},
publisher = {IEEE},
doi = {10.1109/wiecon-ece69386.2025.11526543}
}@inproceedings{shuvo2024chatgpt,
title = {Assessing ChatGPT's Code Generation Capabilities with Short vs Long Context Programming Problems},
author = {Shuvo, Uddip Acharjee and Dip, Sajib Acharjee and Vaskar, Nirvar Roy and Islam, A. B. M. Alim Al},
booktitle = {Proceedings of the 11th International Conference on Networking, Systems, and Security},
pages = {32--40},
year = {2024},
publisher = {ACM},
doi = {10.1145/3704522.3704535}
}@article{dip2024equitable,
title = {Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation},
author = {Dip, Sajib Acharjee and Ibn Arif, Kazi Hasan and Shuvo, Uddip Acharjee and Khan, Ishtiaque Ahmed and Meng, Na},
journal = {Proceedings of the AAAI Symposium Series},
volume = {4},
number = {1},
pages = {259--266},
year = {2024},
doi = {10.1609/aaaiss.v4i1.31800}
}@article{dip2024deepage,
title = {DeepAge: Harnessing Deep Neural Network for Epigenetic Age Estimation From DNA Methylation Data of Human Blood Samples},
author = {Dip, Sajib Acharjee and Ma, Da and Zhang, Liqing},
journal = {Proceedings of the AAAI Symposium Series},
volume = {4},
number = {1},
pages = {267--274},
year = {2024},
doi = {10.1609/aaaiss.v4i1.31801}
}@inproceedings{dip2024patholm,
title = {PathoLM: Identifying Pathogenicity from the DNA Sequence Through the Genome Foundation Model},
author = {Dip, Sajib Acharjee and Shuvo, Uddip Acharjee and Chau, Tran and Song, Haoqiu and Choi, Petra and Wang, Xuan and Zhang, Liqing},
booktitle = {Proceedings of the 19th Machine Learning in Computational Biology Meeting},
series = {Proceedings of Machine Learning Research},
volume = {261},
pages = {153--161},
year = {2024},
publisher = {PMLR}
}Book Chapters
@incollection{uddin2025cryoet,
title = {Feature Detection in Cryo-Electron Tomography Image Analysis},
author = {Uddin, Mostofa Rafid and Dip, Sajib Acharjee and Jha, Rajat Aayush and Zeng, Xiangrui and Xu, Min},
booktitle = {Cryo-electron Tomography},
pages = {173--215},
year = {2025},
publisher = {Elsevier},
doi = {10.1016/b978-0-443-18829-9.00008-6}
}Preprints and Workshop Papers
@misc{dip2026thinkagain,
title = {Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning},
author = {Dip, Sajib Acharjee and Zhou, Dawei and Zhang, Liqing},
year = {2026},
publisher = {arXiv},
doi = {10.48550/arXiv.2606.19808}
}@misc{noshin2026bensyc,
title = {BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts},
author = {Noshin, Kazi and Dip, Sajib Acharjee and Prangon, Ranat Das and Tamim, Fardin Hassan and Ahmed, Syed Ishtiaque and Zhang, Liqing and Sultana, Sharifa},
year = {2026},
publisher = {arXiv},
doi = {10.48550/arXiv.2606.10061}
}@misc{dip2026plantmarkerbench,
title = {PlantMarkerBench: A Multi-Species Benchmark for Evidence-Grounded Plant Marker Reasoning},
author = {Dip, Sajib Acharjee and Li, Song and Zhang, Liqing},
year = {2026},
publisher = {arXiv},
doi = {10.48550/arXiv.2605.10032}
}@misc{dip2025nicheagent,
title = {NicheAgent: LLM-Guided Zero-Shot Niche Identification for Spatial Transcriptomics},
author = {Dip, Sajib Acharjee and Zhang, Liqing},
year = {2025},
publisher = {bioRxiv},
doi = {10.64898/2025.12.09.693287}
}@inproceedings{dip2025protfunagent,
title = {ProtFunAgent: Agentic LLM Cascades for Low-Resource Protein Function Gap-Filling via Homology RAG and Ontology-Constrained Decoding},
author = {Dip, Sajib Acharjee and Choy, John and Zhang, Liqing},
booktitle = {NeurIPS 2025 Workshop},
year = {2025}
}@misc{dip2025lightweight,
title = {Can Lightweight LLM Agents Improve Spatial Transcriptomics Annotation?},
author = {Dip, Sajib Acharjee and Zhang, Liqing},
year = {2025},
publisher = {bioRxiv},
doi = {10.1101/2025.11.08.687410}
}@misc{dip2025moxgate,
title = {MoXGATE: Modality-aware Cross-Attention for Multi-Omic Gastrointestinal Cancer Sub-type Classification},
author = {Dip, Sajib Acharjee and Shuvo, Uddip Acharjee and Mallick, Dipanwita and Abir, Abrar Rahman and Zhang, Liqing},
year = {2025},
publisher = {arXiv},
doi = {10.48550/arXiv.2506.06980}
}@inproceedings{dip2025wcyclegan,
title = {Wasserstein CycleGAN for Single-Cell RNA-seq Data Generation Using Cross-Modality Translation},
author = {Dip, Sajib Acharjee and Chau, Tran and Li, Song and Zhang, Liqing},
booktitle = {ICLR 2025 Workshop on Machine Learning for Genomics Explorations (MLGenX)},
year = {2025}
}@misc{arif2025paint,
title = {PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model},
author = {Arif, Kazi Hasan Ibn and Dip, Sajib Acharjee and Hussain, Khizar and Zhang, Liqing and Thomas, Chris},
year = {2025},
publisher = {arXiv},
doi = {10.48550/arXiv.2501.12206}
}@misc{bi2024aibiomedicine,
title = {AI for Biomedicine in the Era of Large Language Models},
author = {Bi, Zhenyu and Dip, Sajib Acharjee and Hajialigol, Daniel and Kommu, Sindhura and Liu, Hanwen and Lu, Meng and Wang, Xuan},
year = {2024},
publisher = {arXiv},
doi = {10.48550/arXiv.2403.15673}
}Abstracts
@article{arko2025mito,
title = {Mitochondrial-Targeted Therapies in Ischemic Cardiomyopathy: A Systematic Review of Preclinical and Clinical Evidence (2000-2025)},
author = {Arko, Soumyadipto Biswas and Saha, Utsow and Dip, Sajib Acharjee},
journal = {Circulation},
volume = {152},
number = {Suppl 3},
pages = {4368251},
year = {2025},
doi = {10.1161/circ.152.suppl_3.4368251}
}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-presentFunding: My research is supported by NSF Awards 2125798, 2344169, 2319522 and 2004751, and NIH Grant 1R01AI179686.
