Jonathan Kao
![drawing](/~kao/assets/images/people/jonathan_kao.jpg)
Jonathan received his BS, MS, and PhD in Electrical Engineering from Stanford University. His PhD and postdoc were under the supervision of Prof. Krishna Shenoy. Since 2017, he has been an Assistant Professor at UCLA in Electrical and Computer Engineering, where he directs the Neural Computation and Engineering Lab. He is the recipient of the NIH Director's New Innovator Award, a NSF CAREER Award, a Brain & Behavior Research Foundation Young Investigator Grant, and a Hellman Fellowship
Honors and Awards
2020
2020
2020
2019
2020
2020
2019
NIH Director's New Innovator Award
NSF CAREER Award
Brain & Behavior Research Foundation Young Investigator
(Research Partners Program, P&S Fund Investigator)
Hellman Fellow
NSF CAREER Award
Brain & Behavior Research Foundation Young Investigator
(Research Partners Program, P&S Fund Investigator)
Hellman Fellow
Biosketch
2023 - present
2017 - 2023
Assistant Professor, University of California, Los Angeles
2016 - 2017
Postdoctoral Fellow, Stanford University
Neural Prosthetics Systems Laboratory
Advisor: Prof. Krishna V. Shenoy
Neural Prosthetics Systems Laboratory
Advisor: Prof. Krishna V. Shenoy
2010 - 2016
PhD, Electrical Engineering, Stanford University
NSF Graduate Research Fellowship Program
Neural Prosthetics Systems Laboratory
Advisor: Prof. Krishna V. Shenoy
Dissertation: Decoder algorithm design for high-performance and robust neural prostheses
NSF Graduate Research Fellowship Program
Neural Prosthetics Systems Laboratory
Advisor: Prof. Krishna V. Shenoy
Dissertation: Decoder algorithm design for high-performance and robust neural prostheses
2009 - 2010
MS, Electrical Engineering, Stanford University
2006 - 2010
BS with distinction, Electrical Engineering, Stanford University
Frederick E. Terman Award for Scholastic Achievement in Engineering
Frederick E. Terman Award for Scholastic Achievement in Engineering
Teaching
At UCLA, Jonathan has taught Signals & Systems (ECE 102, Autumn 2018-2020), the undergraduate Advanced Honors Seminar (ECE 189, Autumn 2018-2020), Neural Networks and Deep Learning (Winter 2018-2020), and Neural Signal Processing (Spring 2017-2020).