About Me

  • I am a postdoctral research associate in the Program in Applied and Computational Mathematics (PACM) at Princeton University under the supervision of Prof. Amit Singer. I obtained my Ph.D. degree in Mathematics from University of Minnesota under the supervision of Prof. Gilad Lerman.

  • My research interests lie at the intersection of robust estimation, nonconvex optimization, computational methods and statistics, and their applications to a variety of inverse problems in 3-D reconstruction. One particular problem I am interested in is robust group synchronization, which involves synchronization over a space with certain algebraic structure (e.g. groups), under high corruption of data. It has broad applications in 3-D reconstruction, graph matching, image alignment, community detection, phase retrieval and ranking. My current research primarily focuses on the mathematical problems that arise from cryo-electron microscopy (cryo-EM) imaging, which aims to recover the 3-D structure of macromolecules from their highly noisy 2-D images. I have been working on high performance methods (high speed and accuracy) for covariance estimation, contrast estimation, deconvolution, unsupervised denoising of cryo-EM images.

Academic Services

  • Program Committee:CVPR-2023 ICLR-2023 NeurIPS-2022 AISTATS-2022 Top Reviewer ICML-2022 ICLR-2022 AISTATS-2021 NeurIPS-2021
  • Journal Reviewer: IEEE Robotics and Automation Letters, IEEE Transactions on Circuits and Systems for Video Technology