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Jeong Lab

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PI: Haewon Jeong

Assistant Professor, UCSB ECE; Affiliated Faculty, UCSB CS; Co-director of REAL AI

Currently on sabbatical and working as an ML Visiting Scholar at the Flatiron Institute

📧 first name at ucsb dot edu

đŸ’ŒÂ Harold Frank Hall 3161

🎓 Ph.D @ Carnegie Mellon University

🎓 B.Eng @ KAIST

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Our Lab News (Jul ‘26) Our lab received an Amazon Research Award for Differentially Private Synthetic Data Generation. (Jul ‘26) UCSB was selected to lead the Computation-Optimized Automated Soft Materials Technology Programmable Cloud Laboratory (COAST PCL), a $20M project, with PI Jeong leading the AI effort. (Jul ‘26) PI Jeong’s collaboration with Polymathic AI, on agentic AI for NMR elucidation was selected as a spotlight paper at the AI4Science workshop @ ICML 2026. (Jul ‘26) Arjun’s work on Chernoff Information Neural Estimation and its application to fairness-privacy trade-off was accepted at the Pluralistic Alignment workshop @ ICML 2026. (Jun ‘26) Tian presented his work on “Neural Compression for Scientific Particle Data: Perspectives on How Learning Can Help” at PAI 2026. (Mar ‘26) Our collaboration with Dr. Min Sang Cho at Lawrence Livermore National Lab won an Academic Collaboration Team (ACT) award! This award will further support Neel’s work developing AI models for nuclear fusion.

Research

Our lab builds AI systems that do science. Our goal is to make AI a competent and trustworthy scientific collaborator. We work at the intersection of AI for Science and Responsible AI, developing generative models and physics-guided machine learning methods as surrogates for expensive physics simulations, as well as AI agents that automate time-consuming scientific workflows. In collaboration with national laboratories and the Flatiron Institute, we study how increasingly capable AI models and agents can accelerate scientific discovery while providing reliable and trustworthy assistance to scientists.

Keywords: AI for Science, AI for Physics, AI for Chemistry, Agentic AI, AstroAI, Autonomous Labs, Machine Learning, Responsible AI, Algorithmic Fairness, Generative Models, Information Theory, Differential Privacy, Distributed Computing, Fault-tolerant Computing, Quantum Computing

Current Lab Members

Lab Alumni

  • Jin Lee (MS)—currently at UCSB
  • Youngseok Yoon (MS)—currently at UCSB
  • Sid Kannan (BS/MS)—currently at ChipAgent
  • Iain Weissberg (BS/MS)—currently at NVIDIA
  • Dainong Hu (MS)
  • Sahil Naik (MS)—currently at Toyon
  • Harold Mo (BS)—currently at Tesla
  • Jack Shoemaker (BS)—currently at Medtronic
  • Cheryl Stanley (BS)—currently at UCSD
S’24 Lab Dinner 🌼
S’24 Lab Dinner 🌼
S’25 Lab Dinner đŸ„™
S’25 Lab Dinner đŸ„™

Teaching