[Updated at 2025/06] We are recruiting team members who have a strong passion of AI for digital health: 1) PostDoc (Opening) with clinical research methodology and writing skills, coding skills not required; 2) Research Assistant with proficient coding skills. If you are interested, please send an email with your CV attached.

Shenda Hong is an Assistant Professor (tenure-track) at National Institute of Health Data Science, and Institute for Artificial Intelligence, Peking University. His research interests focus on deep learning for temporal medical data, including electronic health records and biosignals (e.g., ECG, PPG, EEG, PSG, PCG, FHR). He is also dedicated to AI for digital health, enhancing smart devices with AI, and developing applications for clinical practice. Additionally, he serves as an associate editor of npj Digital Medicine, SPJ Health Data Science, and as a reviewer for top-tier AI conferences, including ICLR, NeurIPS, ICML, KDD, AAAI, and IJCAI.

Research Interests

• Deep learning for temporal medical data: temporal events, time series (e.g. longitudinal data, cohort, electronic health records), and physiological signals (e.g. ECG, PPG, EEG, PSG, PCG, FHR). We won the first place of the 18th PhysioNet/Computing in Cardiology Challenge, and released a DNN backbone Net1D. Currently working on learning in label scarce environment, generative methods, integrating with medical knowledge and other modality data (e.g. texts).
• AI for digital health: enhancing smart devices with AI and applications in healthcare, portable ECG device, flexible ECG patch, ECG pad, smart watch (with PPG/ECG sensor), smart ring (with PPG sensor), smart stethoscope (with PCG sensor), smart eyemask (with EEG sensor). Currently collaborating closely with affiliated hospitals of Peking University, working on smart devices for sleep disorders, cardiovascular disease, and fetal monitoring.

Working Experience

• 2024/09 - now, Assistant Professor, Institute for Artificial Intelligence, Peking University, Beijing, China
• 2022/08 - now, Assistant Professor, National Institute of Health Data Science, Peking University, Beijing, China
• 2020/09 - 2022/07, (Boya) Postdoctoral Researcher, National Institute of Health Data Science, Peking University, Beijing, China, working with Prof. Luxia Zhang
• 2020/02 - 2020/08, Visiting Researcher, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, working with Prof. M. Brandon Westover
• 2019/09 - 2020/08, Postdoctoral Researcher, College of Computing, Georgia Institute of Technology, Atlanta, GA, USA, working with Prof. Jimeng Sun
• 2018/06 - 2018/08, Research Intern, Tencent Medical AI Lab, Beijing, China
• 2017/07 - 2018/02, Research Intern, IBM China Research Lab, Beijing, China
• 2016/10 - 2017/04, Research Intern, Microsoft Research Asia, Beijing, China

Education

• 2014/09 - 2019/07, Ph.D., Computer Sciences, Peking University, Beijing, China, advisor Prof. Hongyan Li
• 2010/09 - 2014/07, B.S., Mathematics, Beijing University of Posts and Telecommunications, Beijing, China
• 2007/09 - 2010/06, Science Honor Class, Hefei No.1 High School, Hefei, Anhui

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News

[2025/06] We will host the BIBM Workshop (LLM in Healthcare) in Wuhan, China

[2025/06] Two papers about ECG foundation model and EEG spike detection accepted to NEJM AI

[2025/06] One paper about text to ECG generation accepted to Cell Patterns

[2025/04] Invited to serve as an associate editor for npj Digital Medicine

[2025/04] One paper about PSG sleep depth index published in npj Digital Medicine

[2025/01] One paper about AI-ECG published in European Heart Journal - Digital Health

[2025/01] Two papers about ECG-LLM and imbalance regression accepted to ICLR 2025

[2024/08] We successfully organized the KDD-AIDSH Workshop (AI and Data Science for Healthcare) in Barcelona

[2024/07] One paper about AI for sensor design published in PNAS

[2024/01] Three papers accepted to ICLR 2024

[2024/01] AIMEL (AI in Medcine League) organized its first seminar at Peking University Health Science Center

[2023/12] An invited comment published in The Lancet Digital Health

[2023/11] Lab member Guangkun Nie is funded by the Natural Science Foundation of Beijing (2023年度北京市自然科学基金本科生“启研”计划项目). Congrats!

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Services

• Associate Editor of npj Digital Medicine, SPJ Health Data Science
• Conference Reviewer of ICLR, ICML, NeurIPS, KDD, AAAI, IJCAI
• External Reviewer of Center for Medical Device Evaluation (National Medical Products Administration, NMPA) of China

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