Muhammad Aurangzeb Ahmad
Muhammad Aurangzeb Ahmad is a computer scientist whose work covers clinical AI, fairness in healthcare models and AI griefbots. He earned a computer science degree at the Rochester Institute of Technology in 2006 and a PhD at the University of Minnesota in 2011, where papers from his project on detecting gold farmers in online games won best paper awards. Healthcare AI became his focus: by 2019 he was a principal data scientist at KenSci, in 2020 he coauthored a KDD tutorial on fairness in healthcare machine learning, and his team created the fairMLHealth toolkit. In 2016 he finished the first version of Grandpabot, an early griefbot, and in January 2025 the New York Times reported on Rabbi Bot, a sermon chatbot he helped create. He is an assistant professor of surgery at Baylor College of Medicine, where he works on AI and data science in the Division of Cardiothoracic Surgery.
- Works
- 83
- Citations
- 1,715
- h-index
- 17
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2006–2011
RIT degree and Minnesota PhD
He earns a bachelor's degree in computer science at the Rochester Institute of Technology in 2006, studies philosophy alongside it, and receives an honorable mention in the Computing Research Association's 2006 Outstanding Undergraduate Research Award. In 2011, he completes a computer science PhD at the University of Minnesota, advised by Jaideep Srivastava, with a dissertation on computational trust in multiplayer online games.
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2011
Detecting gold farmers in games
In 2011, he coauthors the paper Illicit bits with Brian Keegan, Sophia Sullivan, Dmitri Williams, Jaideep Srivastava and Noshir Contractor; it analyzes the items traded by players later banned for gold farming and builds predictive models that identify deviant players. Papers from the gold-farming project win best paper awards in 2011 at the ACM Web Science Conference and at the Game Behind the Video Game conference at Rutgers University.
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2016
Building Grandpabot
In 2016, he finishes the first version of Grandpabot, a conversational simulation of a deceased person built from letters, writings and audio recordings, and keeps updating it afterward. The project ranks among the earliest examples of griefbots.
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By 2019
Principal data scientist at KenSci
By 2019, he is a principal data scientist at KenSci, the healthcare AI company co-founded by his undergraduate mentor Ankur Teredesai, where he works to keep its models accountable, fair and responsible. He is also an affiliate assistant professor at the University of Washington Tacoma, and AI and Faith names him a Founding Expert in October 2019.
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2020
Fairness in clinical machine learning
In 2020, he coauthors the tutorial Fairness in Machine Learning for Healthcare at the ACM SIGKDD conference with Arpit Patel, Carly Eckert, Vikas Kumar and Ankur Teredesai. The team he leads creates fairMLHealth in 2020, an open-source toolkit for assessing bias in clinical models.
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January 2025
Rabbi Bot in the Times
In January 2025, the New York Times profiles Rabbi Josh Fixler and the AI-generated sermons of Rabbi Bot, a system he helps create. The chatbot is trained on a Houston rabbi's sermons and writes a sermon delivered in the rabbi's cloned voice.
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2025
Harborview fellow and UW Bothell
In 2025, he is an affiliate assistant professor in the University of Washington Bothell's School of STEM and a research fellow in the Department of Surgery at Harborview Medical Center. He studies how machine learning applies in health care, including how AI can help determine who will survive among patients with severe and life-threatening conditions, and he leads research on AI surrogates that estimate the treatment preferences of incapacitated patients.
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Since 2026
Assistant professor at Baylor
Coming from ten years of healthcare AI work in industry, including a role as Principal Data Scientist at Kaiser Permanente, he joins Baylor College of Medicine in 2026 as Assistant Professor of Surgery in the Division of Cardiothoracic Surgery, focusing on artificial intelligence and data science. He is also part of ATLAS A.I., the interdisciplinary research initiative in Baylor's Michael E. DeBakey Department of Surgery.
Career
- Since 2026Baylor College of MedicineAssistant Professor of Surgery
- 2025–2026University of Washington BothellAffiliate Assistant Professor
- From 2025University of Washington Medical CenterResearch Fellow
- 2018–2021University of Washington TacomaAffiliate Assistant Professor
- KenSciPrincipal Data Scientist
- Kaiser PermanentePrincipal Data Scientist
Education
- 2011University of MinnesotaPhD in computer science
- 2006Rochester Institute of TechnologyBachelor's degree in computer science
Most-cited works
- Interpretable Machine Learning in Healthcare
- Trust, distrust and lack of confidence of users in online social media-sharing communities
- Longitudinal Stability of Common TMJ Structural Disorders
- Fairness in Machine Learning for Healthcare
- Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs
Sources and credits
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- Muhammad Aurangzeb Ahmad - Wikipedia
- RIT alumnus studies the intersection of technology and the liberal arts
- Illicit bits: Detecting and analyzing contraband networks in massively multiplayer online games
- Creating digital familial bonds after life - News
- AI and Faith Announces Five New Founding Experts - AI and Faith
- about | Muhammad Aurangzeb Ahmad
- news | Muhammad Aurangzeb Ahmad
- WA man creates AI simulations to connect children with older generations
- Muhammad Aurangzeb Ahmad
- Muhammad Aurangzeb Ahmad | BCM
- ATLAS A.I. | BCM


