About Me

I am a Ph.D. Candidate in Computer Science both affliated with The Kahlert School of Computing (SoC) and Scientific Computing and Imaging Institute (SCI) at The University of Utah. I received my M.S. degree at University of Pittsburgh and my B.E. degree at South China University of Technology(SCUT). I also spent time at Schlumberger-Doll Research as robotics research intern and at Amazon as applied scientist intern working on privacy-preserving learning algorihtms and in-context few-shots learning with pretrained large language/multi-modality models.

My research vision is deeply rooted in AI for Science — by leveraging state-of-the-art learning techniques to facilitate the foundamental and classical studies of scientific priciples from complex, structural, and high-dimensional data. I am advised by Dr. Shandian Zhe.

My interests include but not limit to

  • Probabilistic Learning : Bayesian modeling, Approximate Inference, Uncertainty quantification of deep models
  • AI for Science : Surrogate Modeling, Operator Learning, Physical-Informed Machine Learning
  • Multi-Objective Learning : Multi-Task Learning, Multi-Fidelity Learning, Transfer Learning, Meta-Learning
  • Interactive Machine Learning : Bayesian Optimisation, Active Learning, Multi-Armed Bandits, Reinforcement Learning

I am on job market right now! I am open for academic and industrial poisitions starting summer/fall/winter 2024. If you are interested in my background, do not hesitate to contact me via shiboli.cs@gmail.com


Program Comittee

  • AISTATS 2024
  • UAI 2023
  • AISTATS 2023
  • UAI 2022
  • AISTATS 2022
  • ICMLA 2022

Conference Reivewer

  • ICLR 2024
  • NeurIPS 2023
  • ICML 2023 Workshop SPIGM
  • NeurIPS 2022
  • NeurIPS 2022 MetaLearn Workshop
  • ICML 2022
  • AISTATS 2021
  • ICMLA 2021
  • UAI 2021
  • AAAI 2020

Journal Reivewer

  • Journal of Computational Physics
  • Scientific Reports


The University of Utah

  • Teaching Mentorship : CS 6350 Machine Learning (Fall 2021)
  • Teaching Mentorship : CS 6350 Machine Learning (Spring 2021)

The University of Georgia

  • Teaching Assistant : CSCI 1101 Introduction to Programming (Fall 2017)
  • Teaching Assistant : CSCI 1101 Introduction to Programming (Spring 2017)
  • Teaching Assistant : CSCI 8902 Decision Making under Uncertainties (Fall 2016)
  • Teaching Assistant : CSCI 1301 System Programming (Fall 2015)