Jason Pacheco is an Assistant Professor in the Department of Computer Science at the University of Arizona, where he leads the Statistical Reasoning and Learning (StaRL) Lab. His research interests lie at the intersection of machine learning, artificial intelligence, and statistics, with a particular focus on developing scalable Bayesian methods for complex data, robust machine learning algorithms, and applications in natural language processing, computer vision, and scientific discovery. He aims to build systems that can reason effectively under uncertainty and learn from diverse data sources.
Jason Pacheco's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Recipient of the prestigious National Science Foundation (NSF) CAREER award for his research on 'Structured Probabilistic Models for Compositional Reasoning,' supporting early-career faculty who have the potential to serve as academic role models in research and education.
Successfully secured and led multiple research grants from funding agencies such as the NSF and DARPA, supporting innovative research in machine learning and artificial intelligence.
Authored and co-authored numerous influential papers published in leading machine learning and artificial intelligence conferences and journals, including NeurIPS, ICML, AISTATS, and JMLR.
Received an Outstanding Doctoral Dissertation Award from the Donald Bren School of Information and Computer Sciences at UC Irvine for his PhD thesis.
Institute of Chartered Accountants of India (ICAI) - Year 1997
Sydenham College of Commerce & Economics, Mumbai - Year 1992
Don Bosco High School, Matunga,Mumbai - Year 1990
Air India Modern High School - Year 1984
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