CV
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Please find a detailed version of my CV in this pdf
Professional Experience
- Quant Research & Data Scientist, BNP Paribas Data AI Lab & Flow Rate QR
- Aug. 2023 - Present
- ML-driven alpha research and market making across linear rates, inflation, and FX
- Research Intern, ETH Zürich
- Sep. 2022 - Dec. 2022
- Machine Learning - 3D Vision and Reconstruction (ROMEO@ECCVW24’)
- Machine Learning Intern, ByteDance/Tiktok AILab
- Aug. 2020 - Jul. 2021
- Machine Learning - Neural Rendering (NeRF)
Education
- ETH Zürich
- Sep. 2021 - Jul. 2023
- MSc in Computer Science
- Publications: PaLM@CVPRW23’, ECCV24’
- Yuanpei College, Peking University
- Sep. 2016 - Jun. 2020
- BSc in Computer Science and Technology (Outstanding Graduate, National Scholarship)
- Department of Computer Science, Hong Kong University of Science and Technology
- Feb. 2019 - Jun. 2019
- Visit student (Dean’s List)
Academic Projects
- PaLM: Predicting Actions through LLM, ETH Zürich (01/2023 - 07/2023)
- Vision-language model + large language model for Long-Term Action Anticipation
- Winning entry of Ego4D LTA challenge@CVPRW23’, poster@ECCV24’
Skills
- Programming Languages: Python, C++, SQL
- ML & Frameworks: PyTorch, LightGBM, Transformers/LLM, TensorFlow, JAX
- Tools: Git, Linux
