Curriculum Vitæ

Summary

Benefit from studying and working across disciplines, I have gathered experience in machine learning, software engineering, neuroimaging, circuit design and mechanical analysis. During my bachelor’s I received every public scholarship I was eligible for. I am currently working on representation learning for liquid chromatography–mass spectrometry data, and I am actively looking for machine learning positions and PhD opportunities.

Education

  • 2023 - 2026 : Master in Neuro-X @ École Polytechnique Fédérale de Lausanne with a focus on Neuroimaging and Machine Learning

  • 2019 - 2023 : Bachelor in Information Technology and Electrical Engineering (Biomedical Engineering track) @ Southeast University with a focus on Bioelectronics

  • 2016 - 2019 : High school education @ Hengshui No. 2 High School

Work Experience

Publication

Honors