Scholar
Chengxi Zang
Google Scholar ID: -HFO8ksAAAAJ
Weill Cornell Medicine, Cornell University
Citations & Impact
Citations
2,193
H-index
16
i10-index
24
Publications
20
Co-authors
79
list available
Publications
Resume (English only)
Academic Achievements
- Publications in top medical journals: Nature Medicine, Nature Communications, Translational Psychiatry, eClinicalMedicine, Communications Medicine, Journal of General Internal Medicine, Scientific Reports, Cell Patterns, Archives of Pathology & Laboratory Medicine, etc.
- Publications in leading computer science venues: KDD, AAAI, TKDE, ICDM, etc.
- ICDM'18 Best Paper Candidate; Best Paper Award at AAAI'20 Workshop on Deep Learning on Graphs
- Research, algorithms, and code adopted by NVIDIA, Boehringer Ingelheim, etc.
- Work featured in media outlets including Fortune, Nature Medicine, NIH News, NIH Director’s Blog, BMJ News, etc.
- Co-Investigator on NIH grants: Autism Data Science Initiative (2025–2028), RECOVER Initiative (2021–2025), R01AG080991 (2023–2027)
- NIH Early Career Reviewer (2024)
- AMIA Informatics Year-In-Review selection (2024)
Research Experience
- Assistant Professor, Department of Population Health Sciences, Weill Cornell Medicine (May 2025 – present)
- Instructor, Department of Population Health Sciences, Weill Cornell Medicine (May 2022 – Apr 2025)
- Researcher at Weill Cornell Medicine, Cornell University, collaborating with Prof. Fei Wang (Feb 2019 – Apr 2022)
- Postdoctoral Fellow, Biostatistics & Data Science Americas, Boehringer Ingelheim Pharmaceuticals, Inc. (Mar 2020 – Jan 2021)
- Tencent WeChat Rhino-Bird Elite Training Program (Jul 2018 – Oct 2018)
- Visiting Scholar, Center for Complex Network Research, working with Prof. Albert-László Barabási (Jun 2017 – May 2018)
- Summer research with Prof. Christos Faloutsos (Carnegie Mellon University) in 2015 & 2016
- Summer research with Prof. Chaoming Song (Miami University) in 2014 & 2015
Background
- Currently Assistant Professor of Population Health Sciences, Division of Health Informatics and Artificial Intelligence, Weill Cornell Medicine, Weill Medical College of Cornell University
- Faculty member at the WCM Institute of AI for Digital Health (AIDH)
- Long-term research focus on AI for Health (AI4Health)
- Currently leverages AI, machine learning, and large-scale Real-World Data (RWD) to generate robust, generalizable, high-throughput Real-World Evidence (RWE)
- Aims to address major health challenges including Alzheimer's Disease, Long COVID, youth suicide, women's health, and accelerate drug discovery and development
