About Me

I am currently a Ph.D. candidate in the department of Computer Sciences at University of Wisconsin - Madison advised by Prof. Yingyu Liang and Prof. Robert D. Nowak. I obtained my B.A. degree in economics and statistics from Cornell University, and I was fortunated to work with Prof. Madeleine Udell, Prof. Jacob Bien and Prof. Sumanta Basu.

My main research interest is on the theoretical and empirical aspects of model adaptation with applications in adversarial robustness and large language models. For ongoing researches, I have been mostly interested in developing better alignment methods for creative generation tasks and providing better theoretical understanding for in-context learning. Also, I had previously worked on algorithm design for tensor decomposition problems.

For more detailed information about me, please check out my CV.

You can find the full list of my publications and manuscripts here.

Email: yguo [AT] cs.wisc.edu

Education

• Ph.D. in Computer Sciences, 2018 - Now, University of Wisconsin - Madison
• M.S. in Computer Sciences, 2018 - 2021, University of Wisconsin - Madison
• B.A. in Statistics & Economics, 2014 - 2018, Cornell University, Summa Cum Laude

Experiences

• Amazon Inc. (June. 2023 - Aug. 2023)
  Applied Scientist Intern, Seattle, WA
  

• Alibaba Inc., Damo Academy (Sept. 2022 - Jan. 2023)
  Research Scientist Intern, Bellevue, WA
  Hosted by Dr. Bolin Ding

• Amazon Inc. (June. 2022 - Aug. 2022)
  Applied Scientist Intern, Seattle, WA
  

Services

Journal:

• Reviewer: SIAM Journal on Matrix Analysis and Applications

Conferences:

• Program Committee: AAAI
• Reviewer: ICML, Neurips, ICLR, ICDE