Team

Faculty

David Brooks
Haley Family Professor of Computer Science
Dr. Brooks received his B.S. from University of Southern California in EE in 1997 and his M.A. and Ph.D. in EE from Princeton in 2001. He spent a year at IBM T.J. Watson Research Center in 2001 before joining Harvard in 2002. His research focuses on the...
David Brooks : Haley Family Professor of Computer Science

Gu-Yeon Wei
Robert and Suzanne Case Professor of Electrical Engineering and Computer Science
Dr. Wei received his B.S.E.E., M.S., and Ph.D. in Electrical Engineering from Stanford University in 1994, 1997, and 2001, respectively. In 2000, he joined Accelerant Networks (now a part of Synopsys) in Beaverton, Oregon as a Senior Design Engineer. In...
Gu-Yeon Wei : Gordon McKay Professor of Electrical Engineering

Staff

Paul Whatmough
Research Associate
Dr. Whatmough received the B.Eng. (with 1st class Honors) from Lancaster University, the M.Sc. (with distinction) from Bristol University, and the Ph.D. from University College London, all in the U.K. In 2005 he joined Philips/NXP Research Labs, U.K., as...
Paul Whatmough

Postdocs

Alex Hankin
Postdoctoral Fellow
Dr. Hankin is a Postdoctoral Fellow whose research interests revolve around modeling, analysis, and optimization of next generation computing systems and technologies. He currently works in the areas of embedded non-volatile memories, thermal hotspots...
Alexander R. Hankin

Abdulrahman Mahmoud
Postdoctoral Fellow
Abdulrahman Mahmoud is a postdoc researcher in computer science at Harvard University, working with Dr. David Brooks and Dr. Gu-Yeon Wei in the Harvard Architecture, Circuits, and Compilers Group. His research interests are broadly in the areas of...
Abdulrahman Mahmoud

Devashree Tripathy
Postdoctoral Fellow
Devashree Tripathy is a Postdoctoral Fellow in Computer Science at Harvard University, working with Dr. David Brooks in Harvard Architecture, Circuits, and Compilers Group. She graduated from University of California, Riverside with PhD in Computer...
Devashree Tripathy

Chun-Feng Wu
Postdoctoral Fellow
Chun-Feng Wu (吳俊峯) is a postdoctoral scholar in Department of Computer Science, Harvard University from 2021. He received his M.S. and Ph.D. degree in Department of Computer Science from National Tsing Hua University, Hsinchu, Taiwan, in 2016 and in...
Chun-Feng Wu (吳俊峯)

Sai Qian Zhang
Postdoctoral Fellow
Sai Qian Zhang recently received his PhD degree of Computer Science at Harvard University. Before coming to Harvard, he received his bachelor's degree and master's degree in Electrical Engineering and Statistics from University of Toronto. His research...
Sai Qian Zhang

Jeff Zhang
Postdoctoral Fellow
Jeff (Jun) Zhang is a Postdoctoral Fellow at Harvard University, working with Prof. David Brooks and Prof. Gu-Yeon Wei. Jeff received his Ph.D. degree from the Electrical and Computer Engineering Department at New York University in 2020, supervised by...
Jeff (Jun) Zhang

Current Graduate Students

Bob Adolf
Ph.D. Candidate
Bob studies modeling, analysis, and optimization techniques for high-performance software, with a current focus on deep learning. His philosophy is that the combination of statistical methods, code analysis, and domain knowledge leads to better tools for...
Bob Adolf

Simon Chaput
Ph.D. Candidate
Simon received a B.Eng. and M.Sc.A. in Electrical Engineering from Université de Sherbrooke, Canada and worked at Teledyne DALSA. His research interests include analog and mixed-signal design and power electronics. More specifically, he is interested in...
Simon Chaput

Udit Gupta
Ph.D Candidate
Udit graduated from Cornell University in May 2016 studying Electrical and Computer Engineering. My research interests include making computer systems and hardware systems easier to build by leveraging cross-layer research methodologies.
Udit Gupta

Samuel Hsia
PhD Student
Samuel received his B.S.E. in Electrical Engineering from Princeton University in 2019. His research interests include computer architecture, systems for machine learning, and hardware support for deep recommendation systems. Samuel's publications...
Sam Hsia

Thomas (Hsea-Ching) Hsueh
Lightmatter
Thomas received his Bachelors degree in Electrical Engineering from National Taiwan University in 2015. His current research interest includes hardware accelerator, energy-efficient architecture, machine learning and cognitive neuroscience.
Thomas (Hsea-Ching) Hsueh

Yeongil Ko
Change as of June 1, 2022
Yeongil received a B.S. in Electrical and Computer Engineering from Seoul National University, South Korea in Feb 2019. His research interests include computer architecture, algorithm-hardware co-design, and hardware accelerators for deep learning and...
Yeongil Ko

Siming Ma
Ph.D Candidate
I'm interested in analog and mixed-signal VLSI design, including memory systems and data converters, etc. I also enjoy arts and sports, such as piano, ballet, swimming and skiing.
Siming Ma

Saketh Rama
Ph.D. Student
Saketh received his A.B. in Computer Science from Harvard College. His current research focuses on parallel architectures and algorithms for machine learning and artificial intelligence.
Saketh Rama

Thierry Tambe
Ph.D. Student
Thierry received his B.S (2010) and M.Eng (2012) in Electrical Engineering from Texas A&M University with a focus on analog/mixed-signal VLSI. He spent five years at Intel designing various circuitries for high-bandwidth memory and peripheral interfaces...
Thierry Tambe

Mark Wilkening
Ph.D. Student
I am a Ph.D. student working on hardware-software co-design of systems software. I graduated in 2016 from Northeastern University with a Bachelors in Electrical and Computer Engineering. My past experience has been mostly in computer architecture and...
Mark Wilkening

Group Alums

Marco Donato, Ph.D. 2022
Tufts University

Thomas (Hsea-Ching) Hsueh, Ph.D. 2022
Lightmatter

Tianyu Jia, Ph.D. 2022
Peking University

Glenn Ko, Ph.D. 2022
Start up

Lillian Pentecost, Ph.D. 2022
“Enabling Emerging, Heterogeneous Memory Systems”
Assistant Professor, Amherst College

Emma Wang, Ph.D. 2019
“Performance analysis for Machine Learning Applications”
Software Engineer, Google

En-Yu (Daniel) Yang, Ph.D. 2022
Google Taiwan

Yuan Yao, Ph.D. 2022
Nvidia

Georgios Zacharopoulos, Ph.D. 2022
Research Institute in Switzerland

Brandon Reagen, Ph.D. 2018
“On the Design and Optimization of Specialized Hardware with Applications in Deep Learning”
Research Scientist, Facebook

Sam Xi, Ph.D. 2018
“Advancing System-Level Analysis and Design of Specialized Architectures”
Software Engineer, Google

Svilen Kanev, Ph.D. 2016
“Efficiency in warehouse-scale computers: a datacenter tax study”
Software Engineer, Google.

Sae Kyu Lee, Ph.D. 2016
“High Efficiency Power Delivery for Chip Multiprocessors Using Voltage Stacking”
Postdoctoral Fellow, Harvard

Hyunkwang Lee, M.S. 2016

Mario Lok, Ph.D. 2016
“Power Electronics Design for an Insect Scale, Flapping Wing Robot Using High Voltage Integrated Circuits”
Hardware Engineer, Apple

Yakun Sophia Shao, Ph.D. 2016
“Design and Modeling of Specialized Architectures”
Research Scientist, NVIDIA

Kevin Brownell, Ph.D. 2015
“Architectural Implications of Automatic Parallelization with HELIX-RC”
Software Engineer, Google.

Tao Tong, Ph.D. 2015
“Improving SoC power delivery with fully integrated voltage regulators”

Michael Lyons, Ph.D. 2013.
“Toward a hardware accelerated future”
Software Engineer, Dropbox.

Wonyoung Kim, Ph.D. 2013
“Reducing power loss, cost and complexity of soc power delivery using integrated 3-level voltage regulators”
Founder and CEO, Lion Semiconductor.

Michael Karpelson, Ph.D. 2012.
“Power electronics design for a flapping-wing robotic insect”

Judson Porter, M.S. 2012
Software Engineer, Google Inc.

Krishna Rangan, Ph.D. 2011
“Hardware-based thread scheduling for power-efficient and variation-resilient chip multiprocessors”
Intel Corporation.

Ankur Agrawal, Ph.D. 2010
“Design of high speed I/O interfaces for high performance microprocessors”
Research Staff, IBM Research

Vijay Janapa Reddi, Ph.D. 2010.
“Software-assisted hardware reliability: Using runtime feedback from hardware and software to enable aggressive timing speculation”
Professor, Harvard University (formerly University of Texas, Austin)

Meeta Gupta, Ph.D. 2009.
“Variation-aware processor architectures with aggressive operating margins”
Researcher, IBM India Research Labs

Mark Hempstead, Ph.D. 2009.
“Accelerator-based architectures for wireless sensor network applications”
Professor, Tufts University (formerly Drexel University)

Benjamin Lee, Ph.D. 2008.
“Statistical inference for efficient microarchitectural analysis”
Professor, University of Pennsylvania (formerly Duke University)

Xiaoyao Liang, Ph.D. 2008.
“From uncertainty to opportunity: Joint architecture and circuit resilience to mitigate the impact of process variations”
Professor, Shanghai Jiaotong University

Yong-Cheol Bae
Samsung Electronics

Ruwan Ratnayake, P.D. 20xx
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Marvell

Hayun Chung, Ph.D. 20xx
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Professor, Korea University

Amber Tan, Ph.D. 20xx
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