Sally Chen
Research Scientist Intern at Meta
United States
Summary
👤
Senior🎓
Top SchoolSally Chen is a research-focused computer vision scientist with nine years of experience applying vision and ML to cities, architecture, and human faces. Currently a Research Scientist Intern at Meta, she works on dynamic scene reconstruction and previously published CVPR 2023 work on neural-implicit face/expression control that improved local detail and blendshape compatibility. Her background spans industry and academia—from developing adversarial view-synthesis tools for city-scale scenes at UofT Robotics Institute to filing a patent and building ML/NLP/vision pipelines at RBC. Sally holds advanced vision training from Carnegie Mellon (MS, PhD candidate) and brings practical systems experience in 3D perception and robotics from roles at Epson and Flawless. A lifelong learner with broad curiosities, she combines rigorous research with engineering pragmatism and a knack for improving controllability in learned rendering systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Electrical and Computer Engineering, Bachelor of Applied Science (B.A.Sc.) Electrical and Computer Engineering at University of TorontoExchange Program, Exchange Program at Kyoto UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon University
English, Chinese, Japanese, Latin
Github Skills (12)
neural-rendering9
radiance9
volume-rendering7
computer-graphics6
3d-reconstruction6
grasp4
neural-network3
react-native2
rover2
dex1
parallel1
database1
Programming languages (4)
Github contributions (5)
YuanyuanZhouLucy/Capstone
Nov 2019 - Mar 2020
Aphasia App
Contributions:66 commits, 1 push, 1 branch in 4 months
react-nativeaphasia
sally-chen/nerfpp_depth
Jan 2021 - Feb 2022
Contributions:81 pushes, 5 branches in 1 year 1 month
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