CV

isaac-zeng@case.edu

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EDUCATION

Master of Science – Systems Biology and Bioinformatics
Case Western Reserve University Aug 2024 — Present

  • Expected graduation date: May 2026

Bachelor of Science – Applied Mathematics
Harbin University of Science and Technology Sep 2020 — June 2024

  • Completed thesis about Lithium Battery State of Health Estimation

Bachelor of Economics – Finance (Minor)
Harbin University of Science and Technology Sep 2022 — June 2024

  • Completed thesis about the Impact of Internet Finance on the Profitability of Commercial Banks

Research Assistant

Tabula Rasa Lab, Neurological Institute, Cleveland Clinic Foundation Oct 2024 – Present
CancerEvo Lab, School of Medicine, Case Western Reserve University June 2024 – Oct 2024
Wei Xie’s Lab, School of Physics and Mathematics, Harbin University of Science and Technology Jan 2023 – June 2024
School of Economics and Management, Harbin University of Science and Technology Feb 2022 – Dec 2022

Supporting multiple projects with dataset design, data pre-processing, and preliminary analysis tasks. Project supervisors included:

  • Cleveland Clinic Foundation: Dr. Andrew Dhawan.
  • Case Western Reserve University: Assistant Prof. Christopher McFarland.
  • Harbin University of Science and Technology: Assistant Prof. Wei Xie, Associate Prof. Yu Zhang.

Key skills and achievements include:

  • Co-authored journal and conference papers on topics including lithium battery health prediction using knowledge distillation, financial irregularity detection with modified transformer networks, and skin cancer detection via hybrid neural models.
  • Contributed to an invention patent on a financial irregularity warning method based on an improved transformer, showcasing innovation in applied machine learning.
  • Developed advanced techniques such as a novel data distillation approach for lithium battery health estimation and a violation detection framework utilizing a modified transformer encoder with Bi-LSTM.
  • Applied machine learning and deep learning models across diverse fields, including financial risk assessment, battery health prediction, and medical image analysis, demonstrating versatility and interdisciplinary research capability.