Work and Service

Work Experience

Research Internship, Data & Data Science Group, Sanofi, 06/2023 ~ Now, Boston, MA

Mentor: Wei Zhao and Bozhao Qi

• Data-Driven Neural-ODE Modeling for Breast Cancer Tumor Dynamics and Progression-Free Probability Predictions
  • Managed sparse data from early phases of clinical trials and predicted later phases with only a single observation
  • Created visualizations depicting various tumor dynamics patterns and achieved accurate predictions (R2 exceeding 0.9)
  • Provided a robust reference for clinical trial design by identifying potential responders and progressed patients
• Unpaired Tissue Segmentation & Virtual Restaining
  • Proposed an end-to-end unpaired segmentation GAN and virtual staining framework that mimics real staining processes
  • Supervised prior works and presented a promising substitute for traditional histopathology methods for clinical trial recruitment

Machine Learning Engineer Internship, Kernel Lab, 01/2021 ～ 08/2021, Seattle, WA.

Mentor: Dennis Meng, Lead Data Scientist at Kernel Labs Inc

• Gender classifier: Design a model to classify a speaker’s gender.
• Echo challenge: Design a Dual-signal Transformation LSTM Network to solve the acoustic echo cancellation (AEC) problems.

Teaching Experience

Teaching Assistant, University of Washington, 01/2020 ～ Now, Seattle, WA.

• EE 241 Programming for S&IP Applications
• EEP 596 Recommender Systems, Instructor: Karthik Mohan
• ME/EE 547 Linear Control Theory, Instructor: Xu Chen

Services

• Conference Reviews: CIKM, KDD, NeurIPS & NeurIPS Ethics, MICCAI, CLAI, ICLR, CVPR, ICMD, ISKE, SAM
• Workshop: NeurIPS AFT, NeurIPS AID4, NeurIPS DLDE
• Journal Reviews: PLOS ONE, Data Science and Management (DSM)
• Other Services: Graduate Applicant Support Program (GASP)