Experience
Education
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Current PhD, Electrical and Computer Engineering
Duke Universit -
2021 - 2022 Master of Science, Statistical Science
Duke University -
2017 - 2021 Bachelor of Science, Physics and Statistis
University of Illinois at Urbana Champaign
Work Experience
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May-Aug 2025 Intern Data Scienctist at Meta
- Developed a novel regression based, robust, automated, data quality check. Designed a causal inference inspired volatility metric to flag potential error data. These quality filters greatly improve the robustness of downstream SoT data application.
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Jun-Sept 2020 Intern Data Scienctist at Tencent
- Led the design and implementation of data analysis tool to capture product demographic similarity.
Skills
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Language
- Chinese, English
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Programming
- Python, R, C++, SQL
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Machine learning
- Pytorch, Jax, Flax, Sklearn, Pandas.
Past Research Experience
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2021 - 2023 Duke University, Statistical Science - Developing novel machine learning framework to model Structural and Functional Connectome relationship.
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2020 - 2021 UIUC IRisk Lab - Engineered unsupervised Natural Language Model for actuarial science.
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2018-2020 UIUC High Energy Physics Group - Designed ML model to classify (Neutrinoless) double Beta Decays.