About Me

I will join the Department of Computer Science at Florida State University(FSU) as a tenure-track Assistant Professor in Fall 2024. I am looking for self-motivated students to work on interdisciplinary projects in the landscape of AI for Science. Please see the current openings below.

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


  • [May 1st 2024] I will join FSU as a tenure-track assitant professor in the Department of Computer Science starting Fall 2024.


I am looking for highly motivated students with a solid background in probability, linear algebra, and/or optimization and good programming skills. If you want to join my group, please contact me via shiboli.cs@gmail.com. In particular, if you have a strong math and/or physics background (e.g., with a BS degree in math or physics) and have coding experiences, e.g., Matlab and Python), feel free to schedule a meeting with me.

Note: Please title you email in the format of [Phd/Master/Undergraduate/Interns - YOUR NAME - STARTING TERM] to get noticed.

Ways to work with me

  • [ Applying Ph.D. ]: Please send me your CV, transcript, TOEFL, GRE scores (if applicable), and any other materials you think would be helpful. More information could be found via this link.

    Applications for Fall 2024 and Spring 2025 are still open; contact me before applying.

  • [ Existing master, undergraduate students ]: If you are a master’s or undergraduate student who has already been affiliated with FSU and want to expose yourself to state-of-the-art machine learning research, please send me your CV/Resume to my email.

  • [ Reseach Interns ]: Feel free to contact me.


  • Program Committee: UAI 2024, AISTATS 2024, UAI 2023, AISTATS 2023, UAI 2022, ICMLA 2022

  • Conference Reviewer: ICML 2024, ICLR 2024, NeurIPS 2023, ICML 2023, NeurIPS 2022, ICML 2022, AISTATS 2021, ICMLA 2021, UAI 2021, AAAI 2020


Coming soon!