Qijing Huang

Qijing Jenny Huang, Ph.D.

EECS, University of California, Berkeley


[CV] [Google Scholar]
Qijing Jenny Huang is a research scientist at NVIDIA Research. She earned her PhD in Computer Science at the University of California, Berkeley, advised by Prof. John Wawrzynek. Her research interests are in computer architecture, computer-aided design, reconfigurable computing, and machine learning. She has worked on building efficient FPGA accelerators for emerging ML applications, HLS-based hardware/software flow, and ML-assisted HLS and compiler transformation. Her thesis focuses on novel design and scheduling techniques for accelerating machine learning algorithms on heterogeneous spatial architecture.

University of California, Berkeley
Ph.D. of Computer Science
Aug 2015 - Aug 2021
University of Toronto
Bachelor of Applied Science + PEY, Electrical & Computer Engineering
Sept 2010 - May 2015
Professional Experience
Research Scientist
July 2021 - Present
Student Researcher
May 2020 - July 2021
Hardware Engineer Intern
May 2020 - Aug 2020
Research Intern
May 2019 - Aug 2019
Graduate Lab Technician
Intel Labs
June 2016 - Aug 2016
Software Engineer
Altera (Intel FPGA)
May 2013 - Aug 2014
Research Assistant
University of Toronto
May 2012 - Aug 2012