Ivan Brugere is a Lead AI Research Scientist based in Chicago with 13 years of experience developing trustworthy AI systems focused on robustness, privacy, and fairness. At JPMorgan Chase he has driven practical advances—such as fair multiobjective optimization for lending pricing—while collaborating with academics and mentoring interns. His recent work explores LLM privacy, unlearning, and point-wise robustness, and he has published at ICML, NeurIPS, and TMLR and filed 12 patents. Trained with a Ph.D. in Computer Science and a background spanning graph methods, reinforcement learning, and applied industry projects from AWS to Salesforce, he blends deep research rigor with production-minded solutions. An unusual strength is translating network-inference and temporal behavior research from ecology and social systems into deploying robust models for high-stakes financial applications.
13 years of coding experience
18 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at University of Minnesota
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Illinois Chicago
Master of Arts (M.A.) International Affairs, Master of Arts (M.A.) International Affairs at The New School
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Ivan Brugere - Lead AI Research Scientist at JPMorganChase