Sophia Shao

Yakun Sophia Shao

Assistant Professor

EECS, UC Berkeley

ysshao [at] berkeley [.] edu


Cory 570, Berkeley, CA 94720


[CV] [Google Scholar]
I am an Assistant Professor at the Electrical Engineering and Computer Sciences department of University of California, Berkeley. Previously, I was a Senior Research Scientist at NVIDIA Research. I received my Ph.D. degree in 2016 and S.M. degree in 2014 from Harvard University. My research interests are in the area of computer architecture, with a special focus on specialized accelerator, heterogeneous architecture, and agile VLSI design methodology. My work has been awarded a Best Paper Award (MICRO 2019), Top Picks in Computer Architecture (2014), and Honorable Mentions (2019*2). My Ph.D. dissertation was nominated by Harvard for ACM Doctoral Dissertation Award. I am an SK Hynix Faculty Fellow, a Siebel Scholar, an invited participant at the Rising Stars in EECS Workshop, and a recipient of a Google Faculty Rising Stars Award in Systems Research, a Facebook Research Award, and an IBM Ph.D. Fellowship.

I am looking for motivated Ph.D. and M.S. students, postdoctoral scholars, and undergraduate researchers. If you are interested, please email me with a copy of your CV to start a conversation.
Education
Harvard University, Cambridge, MA
Ph.D. in Computer Science
Sept 2009 - May 2016
Harvard University, Cambridge, MA
Master of Science in Computer Science
Sept 2009 - May 2014
Zhejiang University, China
Bachelor of Electrical Engineering
Sept 2005 - May 2009
Professional Experience
Assistant Professor
UC Berkeley, Berkeley, CA
Aug 2019 - present
Senior Research Scientist
NVIDIA, Santa Clara, CA
Oct 2018 - July 2019
Research Scientist
NVIDIA, Santa Clara, CA
July 2016 - Sept 2018
Research Intern
IBM T.J. Watson Research Center, Yorktown Heights, NY
July 2015 - Sept 2015
Research Intern
IBM T.J. Watson Research Center, Yorktown Heights, NY
July 2014 - Sept 2014
Research Intern
Intel Labs, Santa Clara, CA
June 2012 - Sept 2012
Recent News
06/2021: Jenny presents our work on constrained-optimization-based DNN scheduling at ISCA 2021.
06/2021: Sophia gives a short course at VLSI on developing next-generation deep-learning accelerators from hardware to system.
06/2021: Our work on chiplet-based architecture appears in Communications of the ACM as a Research Highlight.
05/2021: Alon presents our work on vertically integrated labs for computer architecture education at ISCAS 2021.
05/2021: The virtual BWRC and Adept summer retreats went well. Thanks all for the support and feedback!
05/2021: Sophia gives a talk at the InvasIC Research Center.
04/2021: Sophia gives a keynote talk at LATTE: Workshop on Languages, Tools, and Techniques for Accelerator Design at ASPLOS'2021.
03/2021: Our work on CoSA, enabling scheduling by constrained optimization for spatial accelerators, is accepted at ISCA'2021. Congrats!
03/2021: Our work on developing memory-efficient hardware performance counters with approximate-counting algorithms is accepted at the ISPASS'2021 poster session. Congrats!
03/2021: Sophia gives a talk at SIAM-CSE mini-symposium on novel computational algorithms for future computing platforms.
02/2021: Our work on Gemmini, enabling systematic deep-learning architecture evaluation via full-stack integration, is accepted at DAC'2021. Congrats!
01/2021: Our work on developing virtically-integrated computing labs with open-source hardware and cloud-based FPGAs is accepted at ISCAS'2021. Congrats!
01/2021: Sophia is teaching EE290-2: Hardware for Machine Learning in Spring 2021.
12/2020: Sophia gives a talk at Machine Learning in Science and Engineering Conference.