cv

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Contact Information

Name Yifeng Guo
Professional Title Postdoctoral Research Associate (Statistics & Machine Learning)
Email Yifeng.Guo@stjude.org
Phone (+1) 901-264-4831
Website https://gyf9712.github.io/

Professional Summary

My research lies at the intersection of high-dimensional statistics and artificial intelligence, with a focus on explainable AI and complex data modeling. I develop theoretically grounded methods for feature importance, functional data analysis, and high-dimensional inference, with applications in computational biology, medicine, and finance. My recent work has appeared in leading venues in statistics and artificial intelligence, including JASA, IEEE JBHI, and ICLR.

Experience

  • 2024 - Present

    Memphis, TN, USA

    Postdoctoral Research Associate, Department of Computational Biology
    St. Jude Children's Research Hospital
    Advisor: Dr. Xiang Chen. Machine learning and statistical methods for biomedical and single-cell data analysis.
  • 2024 - Present

    Hong Kong

    Co-Founder and Chief Technology Officer
    Demetech Co., Ltd.
    AI-driven clinical decision support and statistical modeling for medical data analysis. Supported by the HKSTP Ideation Program and HKU-TEC Seed Fund.

Education

  • 2019 - 2024

    Hong Kong SAR

    Ph.D.
    The University of Hong Kong (HKU)
    Statistics
    • Dissertation: High-dimensional Statistical Methods for Financial Data Analysis
    • Advisors: Prof. Guodong Li and Dr. Aijun Zhang
  • 2015 - 2019

    Guangzhou, China

    B.S.
    Sun Yat-sen University (SYSU)
    Mathematics and Applied Mathematics
    • Advisor: Prof. Xueqin Wang
  • 2023 - 2023

    Shenzhen, China

    Visiting Student
    Southern University of Science and Technology (SUSTech)
    Business School
    • Advisor: Prof. Li Jin
  • 2017 - 2017

    Berkeley, CA, USA

    Visiting Student
    University of California, Berkeley
    Mathematics

Honors and Awards

  • 2025
    HKU-TEC Seed Program (HKD 100,000)
    The University of Hong Kong & HKSTP
  • 2024
    Ideation Program (HKD 100,000)
    Hong Kong Science and Technology Parks (HKSTP)
  • 2023
    First Place, Minghong Talks Competition (RMB 13,000)
  • 2021
    Excellent Teaching Award
    Department of Statistics and Actuarial Science, HKU
  • 2019
    Postgraduate Scholarship
    The University of Hong Kong

Invited Talks and Conference Presentations

  • IMS New Researchers Conference Asia — Invited talk: Dynamic Functional Factor Model with Multiple Breaks. Hong Kong, China, Jun. 2026.
  • ICLR 2026 — Poster: Flow-Disentangled Feature Importance. Rio de Janeiro, Brazil, Apr. 2026.
  • Joint Statistical Meetings (JSM) — Contributed talk: HAR-Itô Models and High-dimensional HAR Modeling for High-frequency Data. Portland, USA, Aug. 2024.
  • 6th International Conference on Econometrics and Statistics — Contributed talk: Conditional Value-at-Risk Portfolio Optimization in High Dimensions. Session Chair: Asset Allocation. Tokyo, Japan, Aug. 2023.
  • ICSA China Conference — Invited talk: High Dimensional Portfolio Selection with Cardinality Constraints. Discussant: Optimization in Statistics. Chengdu, China, Jun. 2023.
  • ASMDA International Conference — Contributed talk: High Dimensional Portfolio Selection with Cardinality Constraints. Heraklion, Greece, Jun. 2023.
  • 11th National R Conference — Contributed talk: Robust Log-optimal Strategy with Reinforcement Learning. Shanghai, China, Dec. 2018.

Teaching

  • Teaching Assistant, Department of Statistics and Actuarial Science, HKU
  • Advanced Statistical Inference (PhD/Graduate level), Autumn 2022
  • Advanced Quantitative Risk Management (Graduate level), Spring 2023
  • Time Series Analysis (Undergraduate level), Spring 2022
  • Data Mining Techniques (Graduate level), Spring & Autumn 2021
  • Statistical Machine Learning (Undergraduate level), Autumn 2020
  • Data Visualization (Undergraduate level), Spring 2020
  • Business Logistics (Undergraduate level), Autumn 2019

Academic Service

  • Journal Referee: Statistics and Its Interface (×2); IEEE Transactions on Neural Networks and Learning Systems.
  • Conference Referee: STAI-X 2026.
  • Professional Memberships: American Statistical Association (ASA); Institute of Mathematical Statistics (IMS); IEEE.

Skills

Programming (Advanced): R, Python, LaTeX

Languages

Chinese : Native
English : Fluent