PI: Haewon Jeong
Assistant Professor, UCSB ECE
π§Β first name at ucsb dot edu
πΌΒ Harold Frank Hall 3161
πΒ Ph.D @ Carnegie Mellon University
πΒ B.Eng @ KAIST
Research
Our labβs mission is to do science for machine learning and machine learning for science. We advance our fundamental understanding of machine learning algorithms and we apply data-driven approaches to solve challenging scientific problems. Specifically, our labβs research centers around three research themes: reliable computing for ML, responsible AI, and ML for science. See below for more information about each theme.
Keywords: Machine Learning, Responsible AI, Algorithmic Fairness, Generative Models, Information Theory, Differential Privacy, Distributed Computing, Fault-tolerant Computing, Quantum Computing, ML for Science
Teaching
- ECE 594BB: Deep Generative Models (Wβ24)
- ECE 283: Machine Learning (Sβ23)
- ECE 594BB: Ethics for Machine Learning (Wβ23)