Summary
Momin Malik is an Assistant Professor of Biomedical Informatics at Mayo Clinic and a multidisciplinary researcher with nine years of experience applying machine learning, social network modeling, and critical quantitative methods to healthcare AI. He bridges academic rigor and applied ethics, having led AI ethics analytics teams and directed data science efforts that translate research into clinical and policy-relevant tools. Trained at Carnegie Mellon (PhD, Societal Computing; MS in Machine Learning) and Oxford, he combines computational expertise with social-science perspectives on data bias, representativeness, and method choice. His work spans large-scale sensor and social media studies to hospital-facing AI, and he continues teaching and mentoring at UPenn while holding a fellowship in critical quantitative methodologies. Not obvious from titles: he intentionally centers the philosophical and normative questions of “what to measure and why,” making his technical work explicitly reflective about desirability and impact.
9 years of coding experience
13 years of employment as a software developer
Master’s Degree Social Science of the Internet, Master’s Degree Social Science of the Internet at University of Oxford
Bachelor’s Degree History of Science, Bachelor’s Degree History of Science at Harvard University
Doctor of Philosophy (Ph.D.) Societal Computing, Doctor of Philosophy (Ph.D.) Societal Computing at Carnegie Mellon University
English, Urdu, Japanese