Hank Lin
Graduate Student Researcher
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolHank Lin is a machine learning and computer vision researcher with 10 years of industry and academic experience, currently pursuing a PhD at MIT while working on traffic interaction modeling and non-line-of-sight imaging across the LIDS and Camera Culture groups. His work spans applied deep learning for autonomous vehicles—trajectory and intention prediction, 3D detection and tracking—and novel sensing approaches such as multi-bounce LiDAR for reflective scenes. He has delivered production-focused ML systems at companies like Lyft, Uber, Plus and Optimus Ride and contributed to AR/VR relocalization research at Google. Hank’s thesis centers on moving object detection and tracking in video, combining robotics SLAMMOT ideas with modern generative and imitation-learning methods to model vehicle-to-vehicle interaction. Based in Cambridge, MA, he blends rigorous academic research with hands-on engineering and a penchant for “fun” exploratory projects that bridge sensing, simulation, and realistic traffic behavior.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Robotics Decision System, Doctor of Philosophy - PhD Robotics Decision System at Massachusetts Institute of TechnologyMaster of Science (MS) Computer Science, Master of Science (MS) Computer Science at National Taiwan UniversityUniversity of California, San Diego
Chinese, Japanese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (33)
cloud-computing9
orleans9
dotnet9
distributed-systems9
csharp9
api9
concurrency9
actor-model8
cloud-native8
lua8
vim8
dotnet-core8
neovim8
actor-framework8
application-framework8
Programming languages (5)
Github contributions (5)
TulkasLaugh/HankVim
Oct 2016 - Mar 2018
Contributions:16 commits, 16 pushes, 1 branch in 1 year 4 months
UBOdin/jitd
Jun 2016 - Feb 2017
Contributions:69 commits, 60 pushes, 3 branches in 8 months
just-in-timedatastructures
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