Affiliated Departments & Programs
Jon Chun has undergraduate and graduate degrees in computer science and electrical engineering from UC Berkeley and UT Austin. He has done postgraduate fellowships and NSF research in gene therapy, electronic medical records, and semiconductors at the University of Iowa Medical School, MIT and SEMATECH. After working in national labs and large organizations, from FinTech and HealthTech to InsurTech, he did startups in Japan, Brazil and Silicon Valley. He co-founded the world’s largest privacy/anonymity website backed by In-Q-Tel. He then pivoted the startup to enterprise network security as CEO and co-authored web-based VPN Linux appliance patents. Prior to Kenyon he sold his startup to the world's largest computer security company and became a Fortune 500 director of development, successfully rebranding and relaunching their VPN product. He was an entrepreneur in residence at UC Berkeley and judged startup competitions at Berkeley Engineering Graduate School and OSU.
In 2016, he co-founded the world’s first human-centered AI curriculum and Colab at Kenyon College. He has mentored over 300 original student research projects in ML/AI downloaded 60k times worldwide by leading institutions like MIT, Stanford, CMU, Oxford and the Chinese Academy of Social Sciences. He is lead investigator for the Modern Language Association participation in the NIST US AI Safety Institute representing over 25 thousand scholars in literature, linguistics and languages worldwide. He is co-principal investigator for one of only three nationwide IBM-Notre Dame Tech Ethics Lab grants on AI decision-making for criminal recidivism. He co-published and presented some of the first interdisciplinary AI research at leading conferences and papers including Narrative, MLA, Cultural Analytics, the International Journal of Digital Humanities and the Journal of Humanities and Arts Computing. He has also published on medical informatics, gene therapy, as well as in traditional CS/AI venues like ICML, Frontiers in CS, and ArXiv.
Areas of Expertise
Research in human-centered AI, AI agents, affective computing, narrative, security/privacy, generative AI benchmarking, eXplainable AI (XAI), AI fairness bias transparency explainability (FATE), ethical and compliance auditing, and AI policy/regulation. Domain expertise in HealthTech, FinTech, InsurTech, Security, and Entrepreneurship.
Education
1995 — Master of Science from University of Texas at Austin
1989 — Bachelor of Science from Univ. of California Berkeley