PeopleofSuperintelligence

Researcher

Edward Y. Chang

Also known as Edward Y Chang

Edward Y Chang is a computer scientist whose work connects scalable machine learning with healthcare AI. He earned a Stanford PhD in electrical engineering, gained tenure at UC Santa Barbara, and later studied surgical applications of virtual reality at Berkeley. At Google Research, he led parallel machine-learning work and helped secure support for ImageNet; at HTC, he co-led DeepQ, whose project earned second place in the 2017 Tricorder XPRIZE. ACM named him a Fellow in 2021 for contributions to scalable machine learning and healthcare. He is an adjunct professor at Stanford, where his work spans virtual assistance and large language models; in 2025, he coauthored a paper on collaborative LLM reasoning.

Links
Website, Google Scholar and LinkedIn

Timeline

  1. 1999–2003

    Stanford PhD and UCSB tenure

    He completes a PhD in electrical engineering at Stanford in 1999. In 2003, he gains tenure at UC Santa Barbara.

  2. 2006–2012

    Parallel learning at Google

    From 2006 to 2012, he directs research at Google, where he develops parallel and data-centric machine-learning methods and secures sponsorship for ImageNet. In 2011, he gives a Google China keynote on mobile information management and retrieval.

  3. 2013–2017

    Co-leading HTC's DeepQ

    At HTC, he co-leads DeepQ, which develops mobile wireless diagnostic instruments, and develops AI-powered diagnostics. The project enters the Tricorder XPRIZE in 2013 and takes second place, earning US$1 million, in April 2017. In 2017, he coauthors the MMHealth paper “Artificial Intelligence in XPRIZE DeepQ Tricorder.”

  4. 2016–2019

    Visiting scholar at Berkeley

    From 2016 to 2019, he serves as a visiting scholar at UC Berkeley's Virtual Reality Lab, applying virtual reality to surgical procedures.

  5. 2021

    An ACM Fellowship

    ACM names him a Fellow in 2021 for contributions to scalable machine learning and healthcare.

  6. 2024

    A book on large language models

    In 2024, he publishes Unlocking the Wisdom of Large Language Models.

  7. 2025

    A controller for LLM debate

    In 2025, he and Ethan Y. Chang introduce MACI, a dual-dial controller for collaborative LLM reasoning. It gates evidence by quality and adjusts debate behavior from exploration to consolidation.

  8. Since 2019

    Adjunct professor at Stanford

    He is an adjunct professor of computer science at Stanford and has served in the role since 2019. His research covers virtual assistance and, more recently, large language models. Stanford lists him teaching a course on artificial general intelligence, reasoning, planning, and decision making.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. Edward Y. Chang's Profile | Stanford Profiles profiles.stanford.edu. Checked 19 October 2026.
  2. Edward Chang | Stanford Explore Courses explorecourses.stanford.edu. Checked 19 October 2026.
  3. 2011 Google China Faculty Summit in Hangzhou research.google. Checked 19 October 2026.
  4. IEEE MIPR 2018: Industry Speakers cchsu.info. Checked 19 October 2026.
  5. MMHealth '17 Proceedings: Multimedia for Personal Health and Health Care sigmm.org. Checked 19 October 2026.
  6. ACM names 71 Fellows for computing advances that are driving innovation eurekalert.org. Checked 19 October 2026.
  7. Multi-Agent Collaborative Intelligence: Dual-Dial Control for Reliable LLM Reasoning arxiv.org. Checked 19 October 2026.