Yucheng Sun
Research In Mechanistic Interpretability Of LLM at ETH Zürich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolYucheng Sun is a research-focused computer scientist specializing in mechanistic interpretability of large language models, currently conducting investigations at ETH Zürich into how LLMs implement specific functions using probing, ablation, and novel analysis techniques. With eight years of experience bridging theoretical computer science and applied ML, he holds advanced degrees from ETH Zürich and the University of Sydney, where he graduated top of his class and completed individual research on randomized algorithms. He has hands-on teaching and research experience—from tutoring master's-level data-structures courses to short-term graph-theory research—and brings a strong foundation in algorithms and provable reasoning to model introspection. Based in Zurich, he pairs rigorous academic training with an experimental mindset and a habit of implementing fresh ideas rather than relying solely on standard toolkits.
8 years of coding experience
The University of SydneyMaster of Computer Science, Theoretical Computer Science and Machine Intelligence, Master of Computer Science, Theoretical Computer Science and Machine Intelligence at ETH Zürich
English, Chinese, German
Github Skills (49)
scenarios10
realtime-database10
database10
analytics9
sql9
complexity9
ad-hoc9
serverless8
distributed-database8
data-analytics8
olap8
big-data8
star-schema8
dbt8
java8
Programming languages (4)
Github contributions (5)
byrantwithyou/plan
Sep 2018 - Aug 2019
Contributions:434 pushes, 1 branch in 10 months
byrantwithyou/UIST-Code-Client
Mar 2019 - Apr 2019
Contributions:157 commits, 152 pushes, 3 branches in 1 month
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