Summary
Zishen Wan is a postdoctoral fellow at Harvard University and a Georgia Tech PhD in electrical and computer engineering who designs cross-layer system-architecture-silicon solutions for embodied and physical AI. With seven years of research experience spanning academia and industry collaborations (IBM, TSMC, Intel, Google) and support from SRC, NSF, Qualcomm, and Baidu, his work bridges computer architecture, systems, and VLSI toward agentic AI for computing-system design. He has a strong track record of top conference awards (DAC, CAL, SRC JUMP2.0), competition wins, and Rising Star recognitions, reflecting both technical depth and practical impact. His projects range from automated cyber-physical co-design for robotics to hardware-aware ML quantization and adversarially robust pre-processing, revealing a rare blend of algorithmic and silicon expertise. Based in Cambridge, MA, he brings a hands-on approach to co-design that accelerates translation from theory to silicon.
7 years of coding experience
9 years of employment as a software developer
Cross-Registration Student Electrical Engineering and Computer Science, Cross-Registration Student Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Exchange Student Electrical and Computer Engineering, Exchange Student Electrical and Computer Engineering at National Tsing Hua University
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Georgia Institute of Technology
Master of Science - MS Electrical Engineering and Computer Science, Master of Science - MS Electrical Engineering and Computer Science at Harvard University
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at Harbin Institute of Technology
Chinese, English