I completed my undergraduate studies in Financial Mathematics at the University of Leeds. Driven by my strong in strong interest in statistics and programming, I went to University of Cambridge to finish an MPhil in Data Intensive Science. Currently, I am a Research Assistant in Brian Lim’s Lab, where my research focuses on explainable AI, human-computer interaction (HCI), and AI applications in healthcare. I am actively working on a project related to explainable face recognition with Wencan.

Education

• MPhil in Data Intensive Science, University of Cambridge, 2023 Oct - 2024 Jul
  • GPA: 4.8/5.0 | Core Courses: Principle of Data Science, Applied Data Science, Research Computing and Software Development, Application of Machine Learning, Statistical Methods for Data Science, Medical Imaging, Image Analysis
  • Project: Feature Sensitivity and Model Discrimination in Preclinical Breast Cancer Photoacoustic Imaging
• BSc in Financial Mathematics, University of Leeds, 2020 Sep - 2023 Jul
  • GPA: First-Class with Honours | Core Courses: Calculus, Stochastic Calculus, Markov Process, Linear Algebra, Time Series, Computing in Mathematics, Analytic Solutions of PDEs, Advanced Finance, Statistical Methods, Optimisation
  • Awards: Leeds Bursary — £2,000 every academic year, Leeds UG Summer Bursaries — £1,600

Work experience

• Research Assistant, National University of Singapore, Aug 2024 - present
  • Participated in a project on explainable facial recognition, designing a framework and interface to enhance user understanding
  • Integrated psychological considerations of human cognition into the facial recognition process by segmenting facial regions and developing visual explanations tailored to user interaction
  • Applied transformer architecture and relative position encoding to facial features similarity to improve model interpretability
  • Engaged in full research cycle including literature review, method design, coding implementation and preparation for publication
• Summer Intern, Deloitte IBond (Shanghai) Company Limited, Jun 2023 - Sep 2023
  • Proficiently utilized SQL for data extraction and preprocessing from financial databases such as Wind and Tonghuashun
  • Developed a stock market early-warning model using machine learning, achieving ~ 80% accuracy and recall in quarterly tests
  • Efficiently managed and organized raw data from multiple industries using Excel’s VLOOKUP and pivot tables
  • Served as the intern team leader, distinguished by exceptional data processing efficiency and communication skills

Current Project

Explainable Face Recognition

Explainable Multimodal Diagnosis

Skills

• Python
• SQL
• Linux
• Git
• R Studio
• LaTeX
• Microsoft Office
• Fluent in English and Mandarin

Interests

• Badminton
• Coffee
• Traveling
• Dance