Qing Wang
Ph.D. Student in Biomedical Informatics
Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida
📧 wang.qing@ufl.edu · ☎️ (+1) 352-256-3237
About
I am a Ph.D. student in Biomedical Informatics at the University of Florida, advised by Prof. Qianqian Song. My research centers on AI for Science — building biomedical foundation models, large language models, and agent / RAG-based systems for drug discovery, single-cell analysis, electronic health records, and medical imaging. This research is currently supported by an NSF ACCESS "Discover" allocation (≈11,000 GPU-hours of national HPC/GPU resources) that I lead as Principal Investigator.
Before joining UF, I received my B.S. in Internet of Things Engineering from Zhejiang Wanli University (2021), advised by Prof. Jiong Shi, and my M.S. in Computer Science from Zhejiang Normal University (2024) under Prof. Jia Zhu, where — as a member of the Zhejiang Key Laboratory of Intelligent Education Technology and Application — I was also guided by Prof. Changqin Huang and Prof. Ming Li. In summer 2023 I visited Prof. Daniel E. Acuna's lab in the Department of Computer Science at CU Boulder.
Since 2022 I have (co-)authored 17 papers — including 7 first / co-first-author works — in venues such as Nature Communications, Advanced Science, Briefings in Bioinformatics, and Bioinformatics, and I hold one China patent. I serve as a reviewer for 30+ international journals and conferences (e.g., Medical Image Analysis, Genome Biology, npj Precision Oncology, Neural Networks) and as a Program Committee member for ICIBM 2024–2026.
Research Interests
- AI4Science — AI4EHR, AI4VC, AI4Drug
- Biomedical Foundation Models
- Large Language Models, Agent-based and RAG / Knowledge-Graph Systems
News
- 2026.06Awarded an NSF ACCESS "Discover" allocation as Principal Investigator (2026–2027) — 750,000 ACCESS credits (≈11,000 GPU-hours) of national HPC/GPU resources for dissertation research on MKG4Drug.
- 2026.02Invited talk at the Health Informatics & AI Learning Series (Spring 2026), Brown Center for Biomedical Informatics (BCBI), Brown University — "scDrugMap".
- 2026.02Guest Lecturer for GMS6804 Translational Bioinformatics (Spring 2026), HOBI, University of Florida — "AI-Driven Paradigm for Single-Cell Drug Resistance Prediction and Evaluation".
- 2026Paper presentation at the 2026 FACCA Retreat (Florida Academic Cancer Center Alliance), Tampa, FL — "scDrugMap".
- 2025.12First-author paper "scDrugMap" accepted at Nature Communications.
- 2025.06First-author paper "HECLIP" accepted at Bioinformatics.
- 2024.10Co-first-author paper "DrugFormer" accepted at Advanced Science.
- 2024.09First-author paper "AntiFormer" accepted at Briefings in Bioinformatics.
Selected Publications
Open Source
Education
Research Experience
Professional Service
- Reviewer for 30+ international journals, including Medical Image Analysis, Genome Biology, npj Precision Oncology, CAAI Transactions on Intelligence Technology, Briefings in Bioinformatics, Neural Networks, Expert Systems with Applications, and Applied Soft Computing.
- Program Committee Member & Reviewer, ICIBM 2024 / 2025 / 2026; Reviewer, IEEE ICHI 2026.
- Student Member of IEEE and CCF.
Honors & Awards
- NSF ACCESS "Discover" Allocation — Principal Investigator, 2026–2027. 750,000 ACCESS credits (≈11,000 GPU-hours) of national HPC/GPU resources; Award No. CIS261195.
- ZJNU Graduate Study Abroad Exchange Scholarship, Dec 2023
- ZJNU First-Class Postgraduate Scholarship, Dec 2023
- Kaggle Featured Code Competition — Top 6% (59/1057, Bronze Medal), Mar 2023
- Kaggle Research Prediction Competition — Top 22% (201/936), Jan 2023
- ZJNU Best Academic Reporter Award, Dec 2022
- ZJNU Third-Class Postgraduate Scholarship, Dec 2022 & Dec 2021
- Bachelor's Degree with Honor, Zhejiang Wanli University, Jun 2021
- Third Prize, Physics Contest for College Students in Zhejiang Province, Dec 2018