Ching Fang
Research Scientist at Goodfire
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolChing Fang is a research scientist at Goodfire AI with nine years of experience at the intersection of AI and neuroscience, focusing on mechanistic interpretability to make scientific models more transparent and to accelerate discovery. With a PhD from Columbia's Center for Theoretical Neuroscience and a postdoc at Harvard, Ching has applied representation-geometry insights to deep RL and episodic memory models in the hippocampus, bridging theoretical neuroscience and practical ML. Prior industry experience includes an ML research internship at Apple on multimodal foundation models for biosignals, and earlier work on brain–machine interfaces at UC Berkeley. Colleagues know Ching for translating abstract geometric intuitions about representations into concrete interpretability experiments—an unusual blend of mathematical rigor and hands-on model probing. Based in San Francisco, Ching combines academic depth with product-minded research aimed at making large models intelligible and scientifically useful.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at Columbia University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
documentation9
kafka9
extensible8
sdk8
pypi8
get-started7
python7
open-source7
spark6
data-science5
automation5
flyte4
mlops4
javascript3
java3
Programming languages (3)
Github contributions (5)
chinghongfang/astraea
Sep 2021 - Aug 2023
a collection of tools used to balance Kafka data
Contributions:4 PRs, 325 pushes, 187 branches in 1 year 11 months
kafkasinkapache-kafkabalance
chiehchiYang/coding101-project
Feb 2020 - Oct 2020
coding101 project
Contributions:1 PR, 8 pushes in 8 months
javajavascriptcpp
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