Curriculum vitae
Ruipu Li
Ph.D. Student in Computer Science · University of Michigan
Education
University of Michigan, Ann Arbor
Ph.D. Student, Computer Science
Aug 2024 – Present
University of Michigan, Ann Arbor
M.S., Computer Science
Aug 2022 – Apr 2024
University of Michigan, Ann Arbor
B.S., Computer Science
Aug 2020 – Apr 2022
Shanghai Jiao Tong University
B.S., Electrical and Computer Engineering
Aug 2018 – Aug 2022
Publications
Neural Conformal Control for Time Series Forecasting
Ruipu Li and Alexander Rodríguez.
Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI ’25), 2025.
Optimization-based Online Conformal Prediction for Multi-step Forecasting
Ruipu Li, Diego Menacho, and Alexander Rodríguez.
Submitted to the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’26), 2026.
Research projects
CausalSim: Generative Causal AI for Strategic Decision Support
Graduate Researcher, University of Michigan
Jan 2026 – Present
- Build an LLM-driven reasoning pipeline combining retrieval with structural causal models to debug discrepancies across black-box simulators.
- Engineer infrastructure to ground explanations in domain constraints for trustworthy what-if analysis.
ML to Reduce Uncertainty in Climate Forcing by Aerosols
Research Assistant, Climate and Space Sciences and Engineering, University of Michigan
Aug 2022 – Aug 2024
- Process satellite observations using interpolation, PCA, and feature analysis for aerosol-cloud modeling inputs.
- Train predictive models for aerosol optical depth and cloud droplet number concentration.
Collaborations and applied forecasting
FluSight Forecasting Challenge (CDC)
Team Lead, UM-DeepOutBreak, University of Michigan
Jul 2023 – Present
- Top-3 accuracy (MAE) out of about 40 teams in the 2023–2024 FluSight season.
- Built an end-to-end probabilistic forecasting pipeline for CDC ensemble submissions.
- Develop calibrated multi-step prediction intervals using conformal prediction methods.
Reliable Uncertainty Cones for Cyclone Trajectory Prediction
Collaboration with Google DeepMind WeatherLab
Oct 2025 – Present
- Apply an adaptive conformal method (CP-Traj) to ensemble cyclone forecasts for long-horizon coverage.
- Coordinate larger-ensemble experiments and possible integration into trajectory uncertainty products.
Teaching
Graduate Student Instructor (GSI), EECS 492
Introduction to Artificial Intelligence
Jan 2026 – Present
- Design and release weekly homework aligned with course learning goals.
- Lead discussion sections and support students in problem solving and core AI concepts.
Industry
NIO, Autonomous Driving System
Machine Learning Intern
May 2021 – Aug 2021
- Curated and cleaned large-scale road-test logs to build datasets for lane-change modeling.
- Improved lane-change decision-making with an LSTM-based motion prediction model.
- Built Python tooling for road-test analysis and integrated automated testing.
Honors
- Graduated summa cum laude, University of Michigan
- Dean’s List, University of Michigan
- Undergraduate Excellent Scholarship, Shanghai Jiao Tong University
- John Wu and Jane Sun Excellence Scholarship (Top 3%)
Skills
- Programming: C, C++, C#, Python, JavaScript, Go, Rust
- Systems and tools: Great Lakes HPC, Google Cloud Platform (GCP)