Aryan Mokhtari

Assistant Professor, ECE., UT Austin (Jack Kilby/Texas Instruments Fellow)
Visiting Faculty Researcher, Google Research
Core Member, NSF AI Inst. for Foundations of Machine Learning (IFML)
Core Member, NSF AI Inst. for Future Edge Networks & Distributed Intelligence (AI-EDGE)
Google Scholar / CV

Research Interests:

Optimization Theory and Algorithms:
- Convex and Nonconvex Optimization, Minimax Optimization, Bilevel Optimization, Parameter-free and Adaptive Optimization
Foundations of ML and AI:
- Multi-Task Learning, In-Context Learning, Machine Unlearning, Efficient Fine-Tuning

News

- Feb. ’25: Promoted to tenured Associate Professor at UT Austin ECE, effective August 2025.
- Jan. ’25: Joined Google Research as a Visiting Researcher.
- Dec. ’24: Plenary talk at Optimization for ML Workshop at NeurIPS. Slides are available here.
- Apr. ’24: Google Research Scholar Award. (Announcement)
- Jan. ’24: NSF CAREER Award. (Announcement)

Support

My research has been supported by an NSF CAREER Award CCF-2338846, NSF Grants CCF-2007668 and ECCS-2127697, an ARO Early Career Program (ECP) Award, a Google Research Scholar Award, the NSF AI Institute for Foundations of Machine Learning (IFML), the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), and the Machine Learning Laboratory at UT Austin.