I am an assistant professor in the EECS department at UC Berkeley and a founding member of the new UC Berkeley RISE Lab. My research interests are at the intersection of machine learning and data systems and my students are working on a wide range of projects including:
- real-time model serving
- dynamic deep neural networks for transfer learning
- accelerated deep learning for high-resolution computer vision
- new cryptographic primitives for federated learning
- frameworks for deep reinforcement learning and parameter tuning
- explainable reinforcement learning
- software platforms for autonomous vehicles
Background: Before joining UC Berkeley as a professor, I was a post-doc in the AMPLab working on several projects including GraphX (now part of Apache Spark), early versions of MLbase, Velox, and concurrency control for ML.
Current Graduate Students
I am fortunate to advise the following amazing students.
- Daniel Crankshaw
- Paras Jain
- Richard Liaw
- Daniel Rothchild
- Eyal Sela
- Alvin Wan
- Xin Wang
- Tianjun Zhang
- Rehan Durrani
- Edward Fang
- Noah Golmant
- Weston Hughes
- Alvin Kao
- Simon Mo
- Peter Schafhalter
- Hari Subbaraj
- Victor Sun
- Nikita Vemuri
Prospective Postdocs and Graduate Students
I am currently looking for postdocs and graduate students to join the new UC Berkeley RISE Lab. As a founding member of the RISE Lab, I am working on several projects in large-scale systems for real-time machine learning, deep neural network design for accelerated computer vision, dynamic networks for multi-task learning, sparse representations for autonomous vehicles, software architectures for robotic systems, and explainable reinforcement learning.
My machine learning research spans both classical statistical machine learning methods as well as new work in deep learning. If you are interested please consider applying to the UC Berkeley CS graduate program in DBMS or AI.
If you are looking for a post-doc position please contact me directly.
Research Opportunities for Undergraduate Students
We are also looking for motivated undergraduate students who would like to get involved in doing cutting edge research. If you are an undergraduate at Berkeley and are interested in getting involved in research please fill out this Google Form.
I am currently on the technical advisory board for Deepscale.ai which is developing new computer vision software and systems for autonomous vehicles. Deepscale.ai is currently hiring!
My research as part of the UC Berkeley RISE Lab is funded by a group of 10 core industrial partners.