Researcher

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.

Timeline

  1. 2011

    A B.Eng. at Xi’an Jiaotong

    He earns a B.Eng. at Xi’an Jiaotong University in 2011.

  2. 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.

  3. 2018

    A Ph.D. at Xi’an Jiaotong

    He completes a Ph.D. at Xi’an Jiaotong University in 2018.

  4. 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.

  5. July 2021

    Assistant professor at Temple

    In July 2021, he joins Temple University as an assistant professor in health informatics.

  6. 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.

  7. October 2023

    Joining Weill Cornell faculty

    In October 2023, he becomes an assistant professor of population health sciences at Weill Cornell Medicine.

  8. 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.

  9. 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

  1. Since 2025Cornell UniversityDirector, M.S. in Health Informatics and Artificial Intelligence program
  2. Since 2023Cornell UniversityAssistant Professor of Population Health Sciences
  3. From 2021Temple UniversityAssistant Professor of Health Informatics

Education

  1. 2018Xi'an Jiaotong UniversityPh.D.
  2. 2011Xi'an Jiaotong UniversityB.Eng.

Sources and credits

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  1. Su, Chang vivo.weill.cornell.edu. Checked 27 October 2026.
  2. A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations arxiv.org. Checked 27 October 2026.
  3. Deep learning in mental health outcome research: a scoping review nature.com. Checked 27 October 2026.
  4. Home sites.google.com. Checked 27 October 2026.
  5. Biomedical discovery through the integrative biomedical knowledge hub (iBKH) pmc.ncbi.nlm.nih.gov. Checked 27 October 2026.
  6. Promotion and Appointment of WCM Faculty--October 2023 faculty.weill.cornell.edu. Checked 27 October 2026.
  7. Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data nature.com. Checked 27 October 2026.
  8. Health Informatics and Artificial Intelligence phs.weill.cornell.edu. Checked 27 October 2026.
  9. Dr. Chang Su Receives R01 to Improve Early Detection of Parkinson’s Disease and Accelerate Treatment Development phs.weill.cornell.edu. Checked 27 October 2026.