I am an assistant professor in the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego, and affiliated with the ECE department, the CSE department and the Neurosciences Graduate program. 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 2017 at the Technion at the Faculty of Electrical Engineering under the supervision of Prof. Israel Cohen.

I am seeking outstanding postdocs.

My research interests are

  • Manifold learning
  • Diffusion geometry
  • Computational neuroscience
  • Image processing and Biomedical signal processing
  • Applied harmonic analysis

News

  • Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors accepted to ICML Workshop on Topology, Algebra, and Geometry in Machine Learning
  • Data Processing of Functional Optical Microscopy for Neuroscience accepted to Neurophotonics

Talks - Spring 2022

  • Statistics Seminar, Washington State Universitys (Mar. 30 2022)
  • CIS/MINDS seminar, John Hopkins University (May 17 2022)
  • Center for Theoretical Neuroscience Seminar, Columbia Universitys (May 20 2020)

Teaching

  • 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