Team (preview B: HTML block)

We are fortunate to work with an amazing group of students, post-docs, and staff.

Principal Investigators

David Brooks Haley Family Professor of Computer Science dbrooks@eecs.harvard.edu	Gu-Yeon Wei Robert and Suzanne Case Professor of Electrical Engineering and Computer Science guyeon@eecs.harvard.edu

David Brooks

Haley Family Professor of Computer Science
dbrooks@eecs.harvard.edu

Gu-Yeon Wei

Robert and Suzanne Case Professor of Electrical Engineering and Computer Science
guyeon@eecs.harvard.edu

Staff

Glenn Holloway Research Staff holloway@seas.harvard.edu

Glenn Holloway

Research Staff
holloway@seas.harvard.edu

Post-docs

Matt Adiletta Postdoctoral Fellow, 2026–present Ph.D. 2026

Matt Adiletta

Postdoctoral Fellow, 2026–present
Ph.D. 2026

PhD Students

Nestor Dario Cuevas Ph.D. Student, 2021–present	Mariam Elgamal Ph.D. Student, 2021–present
Alicia Golden Ph.D. Student, 2022–present	Jennifer Zhou Ph.D. Student, 2023–present
Kevin Kim Ph.D. Student, 2024–present	Haebin Do Ph.D. Student, 2025–present
Kevin He Ph.D. Student, 2025–present	Lauren Malek Ph.D. Student, 2026–present

Former PhD Students

Matt Adiletta Postdoctoral Fellow, 2026–present Ph.D. 2026	Yuji Chai Ph.D. 2025 Now: Co-founder / Chief AI Officer at Stochastic AI Thesis: Resource Optimization of Emerging Machine Learning Workloads on Edge Devices
Yunho Jin Ph.D. 2025 Now: Software Engineer at Google Thesis: Memory-centric AI: Optimizing for Memory System in Large-scale AI	Samuel Hsia Ph.D. 2024 Now: Research Scientist at Meta (FAIR) Thesis: Architecting Efficient, Large-Scale AI: An Algorithm-System Co-Design Approach
Max Lam Ph.D. 2024 Now: Apple Thesis: Systems and Algorithms for Efficient, Secure and Private Machine Learning Inference	Iulian Brumar Ph.D. 2023 Now: Senior AI Compiler Engineer, Qualcomm Thesis: Early-Stage Non-Conventional Hardware Accelerator Discovery via Optimization Methods and Compiler Analysis
Siming Ma Ph.D. 2023 Thesis: Device, Circuit, and Algorithm Co-Design for Efficient Neural Network Inference in Hardware	Thierry Tambe Ph.D. 2023 Now: Assistant Professor, Stanford University Thesis: Architecting High Performance Silicon Systems for Accurate and Efficient On-Chip Deep Learning
Udit Gupta Ph.D. 2022 Now: Assistant Professor, Cornell University Thesis: Enabling High Performance, Efficient, and Sustainable Deep Learning Systems At Scale	Lillie Pentecost Ph.D. 2022 Now: Assistant Professor, Amherst College Thesis: Enabling Emerging, Heterogeneous Memory Systems
Emma Wang Ph.D. 2019 Now: Senior Staff Software Engineer at Google Thesis: Performance Analysis for Machine Learning Applications	Brandon Reagen Ph.D. 2018 Now: Assistant Professor, New York University Thesis: On the Design and Optimization of Specialized Hardware with Applications in Deep Learning
Sam Xi Ph.D. 2018 Now: Staff Software Engineer at Google Thesis: Advancing System-Level Analysis and Design of Specialized Architectures	Svilen Kanev Ph.D. 2016 Now: Software Engineer at Google Thesis: Efficiency in warehouse-scale computers: a datacenter tax study
Sae Kyu Lee Ph.D. 2016 Postdoctoral Fellow, 2016–2017 Now: EnCharge AI Thesis: High Efficiency Power Delivery for Chip Multiprocessors using Voltage Stacking	Mario Lok Ph.D. 2016 Now: Skydio Thesis: Power Electronics Design for an Insect-Scaled Flapping Wing Robot with High Voltage Integrated Circuits
Yakun Sophia Shao Ph.D. 2016 Now: Associate Professor, UC Berkeley Thesis: Design and Modeling of Specialized Architectures	Kevin Brownell Ph.D. 2015 Now: Staff Software Engineer at Google Thesis: Architectural Implications of Automatic Parallelization with HELIX-RC
Tao Tong Ph.D. 2015 Now: Co-founder, Kolmostar Thesis: Improving SoC Power Delivery With Fully Integrated Switched-Capacitor Voltage Regulators	Michael Lyons Ph.D. 2013 Now: Staff Software Engineer at Dropbox Thesis: Toward a Hardware Accelerated Future
Wonyoung Kim Ph.D. 2012 Now: Co-founder/CEO of Lion Semiconductor, acquired by Cirrus Logic Thesis: Reducing Power Loss, Cost and Complexity of SoC Power Delivery using Integrated 3-Level Voltage Regulators	Michael Karpelson Ph.D. 2011 Now: Senior Staff Electrical Engineer – Robotics, Harvard SEAS Thesis: Power electronics design for a flapping-wing robotic insect
Krishna Rangan Ph.D. 2011 Now: Systems/SoC Architect at Meta Thesis: Hardware-Based Thread Scheduling for Power-Efficient and Variation-Resilient Chip Multiprocessors	Ankur Agrawal Ph.D. 2010 Now: Hardware Engineer, Google Thesis: Design of high speed I/O interfaces for high performance microprocessors
Vijay Janapa Reddi Ph.D. 2010 Now: Professor, Harvard University Thesis: Software-Assisted Hardware Reliability: Enabling Aggressive Timing Speculation Using Run-Time Feedback from Hardware and Software	Hayun Chung Ph.D. 2009 Now: Associate Professor, Korea University (Sejong) Thesis: Design considerations for high-speed backplane transceivers with digital adaptive equalizers
Meeta Gupta Ph.D. 2009 Now: Founder, Shumee Thesis: Variation-aware processor architectures with aggressive operating margins	Mark Hempstead Ph.D. 2009 Now: Professor, Tufts University Thesis: Accelerator-Based Architectures for Wireless Sensor Network Applications
Xiaoyao Liang Ph.D. 2009 Now: Professor, Shanghai Jiao Tong University Thesis: From Uncertainty to Opportunity: Joint Architecture and Circuit Resilience to Mitigate the Impact of Process Variations	Benjamin Lee Ph.D. 2008 Now: Professor, University of Pennsylvania Thesis: Statistical Inference for Efficient Microarchitectural Analysis
Ruwan Ratnayake Ph.D. 2008 Now: Senior Principal Engineer, Marvell Semiconductor Thesis: A High-Throughput Maximum a posteriori Probability Detector for Iterative Detection	Amber Tan Ph.D. 2006 Now: Marvell Thesis: Design of Noise-Robust Clock and Data Recovery Using an Adaptive-Bandwidth Mixed PLL/DLL

Former Post-docs

Abdulrahman Mahmoud Postdoctoral Fellow, 2021–2024	Devashree Tripathy Postdoctoral Fellow, 2021–2022
Jeff Zhang Postdoctoral Fellow, 2020–2022	Alex Hankin Postdoctoral Fellow, 2022
Chun-Feng Wu Postdoctoral Fellow, 2021–2022	Sai Qian Zhang Postdoctoral Fellow, 2022
Tianyu Jia Postdoctoral Fellow, 2020–2021	Glenn Ko Postdoctoral Fellow, 2018–2021
Georgios Zacharopoulos Postdoctoral Fellow, 2020–2021	Kshitij Bhardwaj Postdoctoral Fellow, 2018–2020
Yuan Yao Postdoctoral Fellow, 2017–2020	Marco Donato Postdoctoral Fellow, 2017–2020
Burçin Çakır Postdoctoral Fellow, 2019–2020	Wooseok Choi Postdoctoral Fellow, 2018–2019
Sae Kyu Lee Ph.D. 2016 Postdoctoral Fellow, 2016–2017 Now: EnCharge AI Thesis: High Efficiency Power Delivery for Chip Multiprocessors using Voltage Stacking	Paul Whatmough Postdoctoral Fellow, 2015–2017
Rafael Garibotti Postdoctoral Fellow, 2014–2015	Simone Campanoni Postdoctoral Fellow, 2009–2015
Silvia Zhang Postdoctoral Fellow, 2011–2015	Timothy Jones Postdoctoral Fellow, 2010

Former Group Members

Bob Adolf 2012–2022	Yong-Cheol Bae 2002–2005
Simon Chaput	Xiao Guo 2010–2012
Jian Han 2008–2010	Thomas (Hsea-Ching) Hsueh 2016–2018
Yeongil Ko 2019–2022	Hyunkwang Lee 2013–2016
Andrew Liu 2004–2009	Judson Porter 2009–2012
Saketh Rama 2015–2022	Kate Thurmer 2019–2022
Andrew Tohmc 2003–2005	Nikhil Tripathi 2004
Amanda Tseng 2010–2013	Mark Wilkening 2016–2022
En-Yu (Daniel) Yang 2018–2021