Steven (Jinpu) Cai

I am a Ph.D. candidate in Electrical and Computer Engineering at Shanghai Jiao Tong University, advised by Prof. Hongyi Xin. My research sits at the intersection of Single-cell Multi-omics, Information Geometry and Machine Learning.

I also received joint training at a hospital as a Ph.D. student at National Center for Cardiovascular Diseases, Fuwai Hospital, Peking Union Medical College in China, supervised by Prof.Shengshou Hu and Prof. Liang Chen.

Currently, I am a Research Intern at the BeOne Institute, BeOne Medicine, advised by Dr.Minhong Yan and Dr. Wei Gu, where I leverage Bioinformatics and Machine Learning to facilitate novel drug target discovery and accelerate translational research in oncology.

My work leverages Mathematics, Statistics and AI to uncover hidden patterns in biological data to better understand complex disease mechanisms. I aim to translate these insights into predictive models that support target discovery, therapeutic development, and precision medicine.

I am always open to academic collaborations. If you are interested in my research or seeking partnerships in Bio-AI, please feel free to reach out at jinpu.cai@sjtu.edu.cn.

🔥 News

• [2026.01] I successfully passed my Ph.D. Pre-defense at Shanghai Jiao Tong University.
• [2026.01] Two papers are accepted by RECOMB 2026.
• [2025.11] Two papers have been accepted by the GIW (International Conference on Genome Informatics) 2025.
• [2025.11] I joined BeOne Institute (BeOne Medicine) as a Research Intern to work on AI-driven drug discovery and translational oncology.
• [2025.06] I started my internship at Genentech (Roche), focusing on multi-modal deep learning for DLBCL biomarker identification.
• [2024.08] Our work won the Best Paper Award at the 15th ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB 2024).

🔬 Research Interests

• Bio-AI & Information Geometry: Developing machine learning algorithms for highly complex biological data.
• Single-cell Multi-omics: Integrating transcriptomic and epigenetic data to identify pathological cell subpopulations and regulatory mechanisms in heart failure.
• Precision Medicine: Discovering novel therapeutic targets and biomarkers through deep learning and multi-modal data integration.

💼 Industry Experience

• BeOne Medicine: Research intern focusing on AI-driven novel drug target discovery and disease mechanism parsing.
• Genentech (Roche): Internship in multi-modal deep learning for DLBCL biomarker identification and survival prediction.
• JD Technology: Internship in financial product recommendation and search algorithm design within the JD Finance App.

🌟 Community & Leadership

• Scientific Outreach: Active science blogger on Zhihu, sharing cutting-edge research with 6,000+ followers and 4 million+ views.
• Academic Service: Reviewer for Nature Communications (Co-reviewer), Briefings in Bioinformatics, and IEEE BIBM.
• Leadership: Youth Committee Member of the Shanghai Respiratory IoT Medical Engineering Center; Former President of the Student Union.

🏆 Selected Awards & Honors

• ACM-SIGBIO Award (2024): Selected as the sole global recipient to deliver a plenary report for outstanding work in bioinformatics and biomedical informatics.
• Best Paper Award (2024): 15th ACM International Conference on Bioinformatics, Computational Biology (ACM-BCB).