Yiheng Li
Machine Learning Staff Researcher at Stanford University School of Medicine
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolYiheng Li is a Machine Learning Staff Researcher at Stanford Medicine with a decade of experience applying deep learning to biomedical imaging, prognosis, and multimodal data fusion. He has driven 3D deep learning model development—building variational autoencoders for lung lesion embeddings, segmentation and key-point detection pipelines, and clinical risk prediction models—across both academic and industry settings including Subtle Medical. Skilled in training large vision foundation models and medical image registration, he pairs rigorous statistical analysis and survival modeling with practical engineering (e.g., scalable data extraction and preprocessing pipelines). Beyond biomedical work, he contributes to open-source tooling for system information on cross-platform terminals, reflecting a hands-on systems orientation alongside his research. Based in Palo Alto, he blends deep domain expertise in medical informatics with a pragmatic focus on deployable solutions that improve patient triage and prognosis.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Resource and Environmental Science, Bachelor of Science - BS Resource and Environmental Science at Shanghai Jiao Tong UniversityExchange Student Biomedical Informatics, Exchange Student Biomedical Informatics at University of California, BerkeleyMaster of Science - MS Biomedical Informatics, Master of Science - MS Biomedical Informatics at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
golang10
linux10
go10
system-administration9
devops7
terminal-application5
terminal-emulator5
Programming languages (12)
Github contributions (5)
wtfutil/wtf
Jun 2018 - Jun 2018
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 2 PRs, 8 comments in 3 days
Contributions summary:Yiheng primarily contributed to the `system_info.go` file, demonstrating a focus on system information retrieval across different operating systems like Linux and Darwin. The commits reveal modifications to command execution and data parsing logic, alongside bug fixes and improvements. The changes include conditional logic based on the operating system and a bug fix related to lsb_release. The user also improved the power module for Linux and made general improvements.
golangdevopswtfgowtfutil
liyiheng/zset
Aug 2017 - Nov 2022
Sorted set in golang.
Contributions:4 releases, 37 commits, 10 PRs in 5 years 3 months
golangsorted-setsortedset-inredis
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