Ting Chen
Member Of Technical Staff at xAI
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTing Chen is a machine learning leader and entrepreneur with 10+ years building high-impact ML systems across healthcare, security, risk, and personalization, now co-founding Xplorify to bring AI-driven, personalized college admissions guidance to students. A Stanford MBA alum and former BCG consultant, she has led large engineering organizations at LinkedIn and Pinterest, managing teams of dozens to defend platforms against fraud and to improve personalization at scale. Her technical roots run deep—PhD-level research in computer vision and extensive industry R&D at Roche, IBM, Huami and Tencent produced numerous patents and published work—and she’s contributed to high-profile open research code like Google Research’s SimCLRv2 to enable TPU support and model evaluation fixes. Comfortable toggling between strategy, product and hands-on engineering, she combines platform-building experience with applied ML in production systems. Outside tech, she studies transpersonal psychology and is a certified co-active coach, blending human-centered insight with data-driven decision making.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Beijing University of Posts and TelecommunicationsDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Northeastern UniversityUniversity of California, Los Angeles
English, Chinese
Github Skills (9)
computer-vision10
tensorflow10
self-supervised-learning10
python10
tpu10
contrastive-learning10
resnet9
representation-learning9
unsupervised-learning8
Programming languages (4)
Github contributions (5)
google-research/simclr
Mar 2020 - Dec 2021
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 33 commits, 3 PRs in 1 year 9 months
Contributions summary:Ting primarily contributed to improving the codebase related to running SimCLR models, including updates to support Cloud TPUs and resolving evaluation mode issues. They modified the `run.py` file to add TPU support, including cluster configuration, and corrected the evaluation input mode based on the use of TPUs. Additional contributions include SimCLRv2 updates to incorporate enhancements and additions to the ResNet model. Also the user added a colab to showcase SimCLRv2 checkpoints and colabs.
pytorchsimclrsupervisedunsupervised-learningdeep-learning
chentingpc/gfn
Apr 2019 - May 2020
Contributions:6 commits, 7 pushes, 1 branch in 1 year
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