Hello! I'm a senior PhD student at Caltech working with Prof. Katie Bouman in the Computing & Mathematical Sciences Department. Previously, I graduated from Princeton University summa cum laude, with a major in Computer Science and minor in Statistics & Machine Learning. I'm interested in computational imaging, in particular incorporating sophisticated priors into ill-posed inverse problems.

Nov 2024 I will present an invited talk at SCIEN at Stanford University.

Oct 2024 Presented an invited talk for the imaging reading group at Carnegie Mellon University.

Sep 2024 Presented an invited plenary talk at the Deep Learning for Inverse Problems workshop at DESY in Hamburg, Germany.

Nov 2024 I will present an invited talk at SCIEN at Stanford University.

Oct 2024 Presented an invited talk for the imaging reading group at Carnegie Mellon University.

Sep 2024 Presented an invited plenary talk at the Deep Learning for Inverse Problems workshop at DESY in Hamburg, Germany.

Aug 2024 Presented a lightning talk and poster at the Computational Imaging workshop hosted by the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago.

Aug 2023 Excited to co-organize the Quo Vadis, Computer Vision? workshop at ICCV 2023 with Prof. Georgia Gkioxari!

Jul 2023 Excited to speak at the Astro + Imaging Workshop at Northwestern, organized by Profs. Emma Alexander and Jason Wang!

Jul 2023 Presented a Spotlight poster at ICCP 2023

Jul 2023 Paper about score-based priors accepted to ICCV 2023

Jun 2022 Selected as a Best Paper Finalist at CVPR 2022!

Mar 2022 Visual Vibration Tomography accepted to CVPR 2022 as an Oral

May 2021 Awarded the Best Poster Award at ICCP 2021 for Visual Vibration Tomography!

Mar 2020 Awarded the NSF Graduate Research Fellowship!

Oct 2019 Excited to start my PhD at Caltech, advised by Prof. Katie Bouman!