Scholar
Sophia Huiwen Sun
Google Scholar ID: tIc5N2kAAAAJ
University of California, San Diego
Citations & Impact
Citations
112
H-index
4
i10-index
4
Publications
16
Co-authors
0
Resume
Academic Achievements
- Conformal Prediction for Time-series Forecasting with Change Points, NeurIPS, 2025
- Resolving Ambiguity Through Personalization In Multi-turn LLM Conversations, ICLR 2025 Workshop
- Online Adaptive Anomaly Thresholding with Confidence Sequences, ICML, 2024
- Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process, L4DC, 2024
- Copula Conformal Prediction for Multi-step Time Series Forecasting, ICLR, 2024
- Scalable Safe Long-Horizon Planning in Dynamic Environments Leveraging Conformal Prediction and Temporal Correlations, ICRA Workshop, 2023
- Probabilistic Symmetry for Multi-Agent Dynamics, L4DC, 2023
- Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey, 2022
Research Experience
- Interned at Google DeepMind, Amazon Robotics, and AWS AI.
Education
- PhD in Computer Science at UC San Diego, advised by Prof. Rose Yu; B.A. in Mathematics and Computer Science from Wellesley College.
Background
- PhD student in Computer Science, focusing on machine learning for spatiotemporal data, uncertainty quantification, and decision making under uncertainty. Also interested in machine creativity and digital humanities.
Miscellany
- Member of the band the SEALs, creating music with DIY electronics and AI systems; builds robots to explore the relationship between humans, nature, and machines.