CV

Education, experience, and skills. The icon on the right downloads the same CV as a PDF.

Contact Information

Name Dahai Yu
Professional Title Ph.D. Student in Computer Science
Email dahai.yu@fsu.edu

Professional Summary

Computer Science Ph.D. student at Florida State University working on trustworthy spatiotemporal machine learning — uncertainty quantification, generative models for urban data, and decision pipelines for energy, healthcare access, and disaster resilience.

Experience

  • 2023 - present

    Tallahassee, FL, USA

    Graduate Research Assistant
    Florida State University
    Lead author on uncertainty-aware spatiotemporal prediction projects spanning energy demand, human mobility, and healthcare access.
    • First-authored papers at AAAI, IJCAI, ACM SIGKDD, and ACM SIGSPATIAL; coauthored in ACM IMWUT.
  • 2022 - 2023

    Beijing, China

    Quantitative Developer Intern (Options & Backtesting)
    X-tech (Beijing) Ltd. & Hundsun Technologies (Beijing) Inc.
    • Built a quantitative option analytics platform for indicator monitoring and strategy diagnostics.
    • Designed and implemented a backtesting pipeline with transaction-cost modeling and risk metrics.

Education

  • 2023 - present

    Tallahassee, FL, USA

    PhD
    Florida State University
    Computer Science
    • Advised by Prof. Guang Wang.
    • GPA 4.0/4.0.
    • Trustworthy spatiotemporal machine learning and generative models for urban data.
  • 2019 - 2023

    Beijing, China

    BS
    Peking University
    Big Data Management and Application
    • Department of Information Management.
    • Undergraduate research with Prof. Bolin Hua on text mining for scientific literature.

Awards

  • 2026
    The Dean's Award for Doctoral Excellence
    Florida State University
  • 2021
    Challenge Cup, Second Prize
    Peking University
  • 2021
    Third Prize Scholarship
    Peking University

Skills

Programming (Advanced): Python, C/C++, Java, JavaScript, Bash
LLM Post-Training (Advanced): SFT, instruction tuning, preference optimization (DPO / RLHF), reward modeling
Machine Learning (Advanced): PyTorch, PyTorch Geometric, diffusion models, graph neural networks, state space models, uncertainty quantification
Tools (Intermediate): Git, Linux, Slurm / HPC, LaTeX, Docker

Languages

Chinese : Native speaker
English : Fluent

Interests

Research: Spatiotemporal data mining, uncertainty quantification, trustworthy machine learning, generative models, urban computing, AI for energy