Sicong Huang
Visiting Researcher at Vector Institute
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolSicong Huang is a machine learning researcher and visiting researcher at Stanford with nine years of research experience spanning academia and industry. He is a PhD candidate at the University of Toronto and a long-time Vector Institute affiliate focused on deep learning, reinforcement learning, and intrinsic motivation for exploration. Sicong co-founded FOR.ai (later acquired by Cohere) and the University of Toronto Machine Intelligence Student Team, blending distributed AI collaboration with student leadership and course development. His background includes internships and research roles at MIT CSAIL, Borealis AI, and medical research at St. Michael’s Hospital, reflecting fluency in both theoretical and applied ML. Based in Palo Alto, he prefers contact via Twitter and maintains an up-to-date research portfolio and course materials on his personal University of Toronto site. An understated strength is his sustained commitment to building research communities and teaching graduate-level ML while driving novel research.
9 years of coding experience
7 years of employment as a software developer
Visiting Student Brain and Cognitive Science, Visiting Student Brain and Cognitive Science at Massachusetts Institute of TechnologyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of TorontoHigh school diploma 理科实验班, High school diploma 理科实验班 at Tsinghua University High School
Github Skills (10)
pytorch8
generative-model8
python8
deep-learning7
reinforcement-learning5
tensorflow5
deep-neural-networks5
lossy-compression5
machine-learning5
hugo1
Programming languages (2)
Github contributions (5)
huangsicong/rate_distortion
Aug 2020 - Mar 2022
Evaluating Lossy Compression Rates of Deep Generative Models
Contributions:12 commits, 19 pushes in 1 year 7 months
generative-modellossy-compression
BorealisAI/rate_distortion
Aug 2020 - Jan 2021
Evaluating Lossy Compression Rates of Deep Generative Models
Contributions:14 commits, 12 pushes, 1 branch in 5 months
generative-modellossy-compression
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