Wenhao Zhang
I am a tenure-track Assistant Professor in the School of Automation and Intelligent Sensing at Shanghai Jiao Tong University. My research seeks to develop AI that advances our understanding of the mechanisms governing human health and disease, with the long-term goal of making medicine predictive, preventive, and personalized. Toward this goal, I develop health foundation models and medical world models grounded in causal reasoning and real-world clinical evidence. I received my Ph.D. in Computer Science from UCLA in 2023 and completed my postdoctoral training in the Slomka Lab at Cedars-Sinai Medical Center. My research has been recognized with the Barry L. Zaret Young Investigator Award and multiple best paper awards, and I was selected for the Shanghai Magnolia Talent Program.
News
: Selected to receive the 2026 Zaret-Beller Elite Reviewer Award for outstanding peer-review contributions to the Journal of Nuclear Cardiology.
: Our work “polyDAG: polynomial acyclicity constraints for efficient continuous causal discovery in visual semantic graphs” has been published in The Visual Computer.
: Our work “Automated AI-Based Aortic Measurements From Attenuation Correction CT as an Adjunctive Cardiovascular Risk Biomarker: An International Multicenter Study” has been published in Circulation: Cardiovascular Imaging.
: Our work “Multicenter Evaluation of Interpretable AI for Coronary Artery Disease Diagnosis from PET Biomarkers” has been accepted by npj Digital Medicine (IF: 18.0).
: Received the Bronze Award at the China International College Students’ Innovation Competition, International Projects Track, Higher Education Main Track (Nationwide).
: Received the Silver Award at the China International College Students’ Innovation Competition, International Projects Track, Higher Education Main Track (Shanghai Region).
: Joined Shanghai Jiao Tong University as an Assistant Professor.
: Our work “Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction” has been accepted by npj Digital Medicine (IF: 18.0).
: Awarded the Shanghai Magnolia Talent Program (2024 Shanghai Magnolia Talent Program — Overseas High-Level Talent).
: Our work “Automating Revascularization Decision Support: Clinical Application of Artificial Intelligence” received the Barry L. Zaret Young Investigator Award at ASNC 2024.
: Our work “Range of Motion Sensors for Monitoring Recovery of Total Knee Arthroplasty” received the Best Paper Award (Honorable Mention) at IEEE BHI-BSN 2022.
: Our work “ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique” received the Best Paper Award at CONF-CDS 2022.