Chang Su
Chang Su is a biomedical AI researcher who develops machine-learning methods for multimodal health data. He earned a B.Eng. and a Ph.D. at Xi’an Jiaotong University, coauthored a winning 2017 NIPS solution for classifying clinically actionable genetic mutations, and coauthored the iBKH biomedical knowledge graph study. In 2020 and 2024, he coauthored studies on deep learning for mental-health outcomes and machine-learning models of Parkinson’s disease progression. Since September 2025, he directs Weill Cornell’s M.S. in Health Informatics and Artificial Intelligence program and is an assistant professor of population health sciences.
- Now at
- Cornell University
Timeline
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2011
A B.Eng. at Xi’an Jiaotong
He earns a B.Eng. at Xi’an Jiaotong University in 2011.
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2017
A NIPS genetic-mutation win
He coauthors the winning solution to the 2017 NIPS competition on clinically actionable genetic mutations, using medical-literature text to classify variants.
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2018
A Ph.D. at Xi’an Jiaotong
He completes a Ph.D. at Xi’an Jiaotong University in 2018.
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2020
Deep learning for mental health
The 2020 review he coauthors surveys deep learning for mental-health outcomes, including diagnosis and prognosis from clinical data, genetics and genomics, vocal and visual expression, and social-media signals.
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July 2021
Assistant professor at Temple
In July 2021, he joins Temple University as an assistant professor in health informatics.
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2023
The iBKH biomedical graph
In 2023, he coauthors a study that builds the integrative Biomedical Knowledge Hub (iBKH), a biomedical knowledge graph assembled from diverse biomedical resources. The paper adds a public graphical portal and a graph-learning pipeline, then tests iBKH for computational drug repurposing in Alzheimer’s disease.
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October 2023
Joining Weill Cornell faculty
In October 2023, he becomes an assistant professor of population health sciences at Weill Cornell Medicine.
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2024
Parkinson’s pace subtypes
He coauthors a 2024 study that uses deep learning and five years of clinical records to identify Parkinson’s disease progression subtypes and examine subtype-specific biomarkers and drug-repurposing candidates.
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Since 2025
Directing Cornell’s health AI program
Since September 2025, he directs Weill Cornell’s M.S. in Health Informatics and Artificial Intelligence program and is an assistant professor of population health sciences. In July 2026, he receives an R01 to develop an AI pipeline for early Parkinson’s detection and disease-modifying treatment development, integrating clinical records, neuroimaging, and multi-omics data.
Career
- Since 2025Cornell UniversityDirector, M.S. in Health Informatics and Artificial Intelligence program
- Since 2023Cornell UniversityAssistant Professor of Population Health Sciences
- From 2021Temple UniversityAssistant Professor of Health Informatics
Education
- 2018Xi'an Jiaotong UniversityPh.D.
- 2011Xi'an Jiaotong UniversityB.Eng.
Sources and credits
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- Su, Chang
- A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations
- Deep learning in mental health outcome research: a scoping review
- Home
- Biomedical discovery through the integrative biomedical knowledge hub (iBKH)
- Promotion and Appointment of WCM Faculty--October 2023
- Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data
- Health Informatics and Artificial Intelligence
- Dr. Chang Su Receives R01 to Improve Early Detection of Parkinson’s Disease and Accelerate Treatment Development


