Pau Batlle
PhD Candidate, California Institute of Technology
{firstname}@caltech.edu
I am a PhD candidate in Computing and Mathematical Sciences (CMS) at Caltech (I expect to graduate in June 2025) and a research affiliate at NASA Jet Propulsion Laboratory in Pasadena, California. I am fortunate to be advised by Houman Owhadi.
My current research is at the intersection of Statistics and Applied Mathematics, including:
Frequentist confidence intervals in ill-posed inverse problems using optimization
Game-theoretical Uncertainty Quantification
Theory and applications of Gaussian Processes.
I have applied my work to different domain applications, including remote sensing, biology, earthquake prediction, epidemic modeling, and telecommunications engineering.
Prior to joining Caltech, I graduated from Universitat Politècnica de Catalunya with a double undergraduate degree in Mathematics and Engineering Physics, and I was a research visitor at the Center for Data Science at NYU.
Upcoming talks and activities
I will speak about applications of optimization-based confidence intervals in remote sensing at the "Digital twins for inverse problems in Earth science" workshop at CIRM (Centre International De Rencontres Mathematiques) in Marseille in July 2024
Recent news
My paper about discovering computational hypergraph structures using Gaussian Process has been accepted for publication and will appear in the Proceedings of the National Academy of Sciences - June 2024
I gave a talk about optimization-based confidence intervals, including its history and my current work, in the STAMPS (Statistical Methods for the Physical Sciences) seminar at CMU. Slides are available here - May 2024
I gave a talk about the disproof of the Burrus conjecture at SIAM UQ 2024, and at SIAM MS 2024. Slides are available here - March 2024