Summary
Gary Lee is a scientist and AI researcher with 11 years of experience applying deep learning, signal processing, and wireless communication to real-world sensing and communications problems. Currently at A*STAR I²R after a PhD and MS at MIT, he has a track record of bridging theory and hardware—from neural-recording electrodes and brain-computer interface decoding to cognitive radio and robust multi-agent learning. His work blends rigorous limits analysis with practical algorithm design, informed by internships and research stints at Analog Devices, Stanford, EPFL and industry labs. Known for tackling unreliable-component sensing and cooperative RL under communication constraints, he brings a hands-on experimental mindset and a history of building useful tools and prototypes across biomedical, robotics, and wireless domains. An educator and organizer earlier in his career, he pairs technical depth with experience managing teams and producing large-scale learning content for diverse audiences.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical Engineering and Computer Science, Doctor of Philosophy (PhD) Electrical Engineering and Computer Science at Massachusetts Institute of Technology
High School Diploma Major with Honours: Mathematics Biology Chemistry & Physics, High School Diploma Major with Honours: Mathematics Biology Chemistry & Physics at NUS High School of Mathematics & Science
Bachelor of Science with Departmental Honors and with Distinction Electrical Engineering, Bachelor of Science with Departmental Honors and with Distinction Electrical Engineering at Stanford University
English, Chinese, French