PeopleofSuperintelligence

Researcher

Chengxi Zang

Also known as 臧承熙

Chengxi Zang is a computer scientist whose work connects machine learning for health data with molecular graph generation. He earned a computer science degree at Sun Yat-Sen University in 2013 and a Doctor of Engineering at Tsinghua in 2019; his early work included a model for social-network growth. His career moved into health research at Weill Cornell, from a postdoctoral role and an instructor post to an assistant professorship in 2025. He coauthored MoFlow, a flow-based model for molecular graph generation, and led 2023 research on Long COVID using electronic health records. Since May 2025, he is an assistant professor at Weill Cornell Medicine, and by August 2026 he had received an R01 to bridge gaps in pregnancy trials.

Works
79
Citations
2,003
h-index
17

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 2009–2013

    Computer science at Sun Yat-Sen

    From September 2009 to July 2013, he studies computer science and earns a bachelor's degree at Sun Yat-Sen University.

  2. 2016

    NetTide and network science

    In 2016, he publishes the NetTide model for social network growth at KDD.

  3. June 2017–May 2018

    Visiting scholar in network science

    From June 2017 to May 2018, he is a visiting scholar at the Center for Complex Network Research, working with Albert-László Barabási.

  4. 2013–2019

    Tsinghua degree and awards

    He begins his Doctor of Engineering studies in Tsinghua University's Department of Computer Science and Technology in August 2013 and completes the degree in January 2019. In 2019, he receives its Excellent Ph.D. Award and the department's Excellent Ph.D. Dissertation Award.

  5. 2019–2022

    Postdoctoral work at Weill Cornell

    From February 2019 to April 2022, he works as a postdoctoral research associate at Weill Cornell Medicine with Fei Wang.

  6. 2020

    MoFlow for molecule generation

    In 2020, he coauthors MoFlow with Fei Wang, a flow-based graph generative model that learns invertible mappings between molecular graphs and their latent representations.

  7. 2022–2025

    Instructor at Weill Cornell

    From May 2022 to April 2025, he works as an instructor in Population Health Sciences at Weill Cornell Medicine.

  8. 2023

    NVIDIA unveils BioNemo

    In 2023, NVIDIA CEO Jensen Huang unveils BioNemo at GTC, a service that provides generative models for drug discovery.

  9. 2023

    Long COVID in health records

    In 2023, he is lead author on a Nature Communications study that uses machine learning and electronic health records to define Long COVID and assess how well its definition generalizes across populations.

  10. By August 2026

    Assistant professor at Weill Cornell

    In May 2025, he becomes an assistant professor of population health sciences at Weill Cornell Medicine. By August 2026, he has received an R01 to bridge gaps in pregnancy trials.

Career

  1. Since 2025Cornell UniversityAssistant professor of population health sciences
  2. 2022–2025Cornell UniversityInstructor in Population Health Sciences
  3. 2019–2022Cornell UniversityPostdoctoral research associate
  4. 2017–2018Northeastern UniversityVisiting scholar at the Center for Complex Network Research

Education

  1. 2019Tsinghua UniversityDoctor of Engineering
  2. 2013Sun Yat-sen UniversityBachelor's degree in computer science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Chengxi Zang yet. Send us a free-licensed photo.

  1. Chengxi Zang calvinzang.com. Checked 27 October 2026.
  2. Chengxi Zang, Ph.D. | Center for Population Health health.uconn.edu. Checked 27 October 2026.
  3. Differential Deep Learning on Graphs and its Applications calvinzang.com. Checked 27 October 2026.
  4. MoFlow: An Invertible Flow Model for Generating Molecular Graphs arxiv.org. Checked 27 October 2026.
  5. MoFlow: An Invertible Flow Model for Generating Molecular Graphs | Population Health Sciences phs.weill.cornell.edu. Checked 27 October 2026.
  6. Study Discovers Long COVID Risk and Symptoms Vary in Different Populations | Newsroom | Weill Cornell Medicine news.weill.cornell.edu. Checked 27 October 2026.
  7. Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative | Nature Communications nature.com. Checked 27 October 2026.
  8. Dr. Chengxi Zang Receives R01 to Bridge Critical Gaps in Trials for Pregnant Women | Population Health Sciences phs.weill.cornell.edu. Checked 27 October 2026.