Work
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2021 - Present
Mila - Quebec AI Institute
- Define the scientific roadmap and architectural scope for applied ML projects. Ensure scientific rigour, technical soundness, and alignment between research outputs and the client's end-goals.
- Make core contributions to model designs and implementation, conduct experiments and interpret results.
- Mentor junior teammates on scientific methodologies and coding best practices; provide technical advice to clients, guiding their own ML initiatives.
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2019 - 2021
McGill University
- Developed ML frameworks for healthcare applications, advised by Prof. Yue Li. Made core contributions to projects including medical pre-training dataset construction and COVID-19 response assessment.
- Authored papers in Patterns, Nature Communications, and EMNLP.
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2018.10 - 2019.4
Horizon Robotics
- Designed a pipeline for large-scale audio quality evaluation and data selection based on audio-textual features.
- Built a scalable Hadoop-based audio processing platform with a custom web interface for data management.
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2018.10 - 2018.7
University of Toronto & SickKids
- Analyzed and visualized complex fMRI data (BOLD signal and DKI) to support clinical research under Dr. Andrea Kassner.
- Constructed a reusable Matlab pipeline for experimental data processing and analysis.
Education
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McGill University
Computer Science
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Wuhan University
Electronic Information Engineering