I am an associate professor in the Halıcıoğlu Data Science Institute (HDSI) and affiliated with the ECE department, the CSE department, the Neurosciences Graduate program and the Institute for Neural Computation at UC San Diego. I am a member of the NSF TRIPODS institute for Emerging CORE Methods in Data Science (EnCORE). I am part of the Neurotheory Network and Pathways 2 AI. Before joining UCSD, I was a Gibbs Assistant Professor in the Applied Math program at Yale University, with Prof. Ronald Coifman's research group. I completed my PhD in Electrical Engineering in 2017 at the Technion under the supervision of Prof. Israel Cohen.

My research interests are Manifold learning, Diffusion geometry, Computational neuroscience, Image processing and graph signal processing and Applied harmonic analysis.

News

  • Congrats to Changhao on successfully defending his PhD!
  • Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy accepted to ICLR 2025!

Talks and travel - 2025

  • Allen Institute for Neural Dynamics, Seattle (Jan 8 2025)
  • AMS Special Session on Geometric and Combinatorial Methods in Deep Learning Theory, JMM, Seattle (Jan 9 2025)
  • Graph approaches to geometric complexity in neuroscience workshop, Cosyne (Mar 31st 2025)
  • Erasmus Dept of Neuroscience Colloquium, Erasmus MC (April 22 2025)
  • IMA Data Science Seminar, University of Minnesota (Apr 29 2025)
  • SCGB Annual Meeting, Flatiron Institute, NY (May 5-6 2025)
  • CSHL Neural Data Science Course, NY (July 15-17 2025)

Teaching

  • Winter 2025: DSC 190/291 Network Science and Graph Theory
  • Fall 2024: DSC 40A Theoretical Foundations of Data Science I
  • Fall 2023: DSC 120 Signal Processing for Data Analysis
  • Fall 2023: DSC 205 Geometry of Data
  • Fall 2023: DSC 180A Data Science Capstone Project
  • Winter 2023: DSC 40A Theoretical Foundations of Data Science I
  • Fall 2022: DSC 190 Network Science and Graph Theory
  • Fall 2022: DSC 291 Geometry of Data
  • Spring 2022: DSC 120 Signal Processing for Data Analysis
  • Fall 2021: DSC 180A Data Science Capstone Project
  • Winter 2021: DSC 40A Theoretical Foundations of Data Science I
  • Winter 2021: DSC 180B Data Science Capstone Project
  • Fall 2020: DSC 291 Geometry of Data
  • Fall 2020: DSC 180A Data Science Capstone Project
  • Spring 2020: DSC 120 Signal Processing for Data Analysis
  • Fall 2019: CSE 291 Geometry of Data
  • Spring 2019: MATH 222 Linear Algebra with Applications
  • Spring 2018: AMTH 160 Structure of Networks