Jyh-ming Lien
Director Of Robot Software at Familiar Machines & Magic
Pasadena, California, United States
Summary
👤
Senior🎓
Top SchoolJyh-ming Lien is a director-level robotics software leader with 12 years of industry and academic experience and a deep research background in robotics, geometry, computer graphics, and computer vision. He has moved research into production repeatedly—most recently leading robot software at Familiar Machines & Magic after technical leadership roles at iRobot—where he specializes in algorithmic optimization, search, and design using both classical methods and modern ML. As a former professor and postdoc, he combines rigorous academic thinking with practical system-building, guiding cross-functional teams from prototyping to deployed products. He is known for translating complex spatial and perception problems into efficient, scalable solutions that run on real robots. Based in Pasadena, he brings an unusually broad perspective that spans theoretical algorithms to hands-on robotic systems engineering.
12 years of coding experience
18 years of employment as a software developer
BS, BS at National Chengchi UniversityPh.D, Ph.D at Texas A&M University
Github Skills (12)
decomposition8
approximate7
polygons7
kd-tree7
polyhedra6
bounding6
convex6
julia5
tessellation5
java3
caliper2
cpp2
Programming languages (1)
Github contributions (5)
jmlien/mesh_unfolder
Jul 2017 - Sep 2020
Contributions:45 commits, 10 pushes, 1 branch in 3 years 1 month
jmlien/DGP
Aug 2020 - Nov 2020
Contributions:65 commits, 47 pushes in 2 months
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