I am an assistant professor in the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego, and affliated with the ECE department, the CSE department and the Neurosciences Graduate program. I am part of the Neurotheory Network. Before arriving at 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 and graduate students.

My research interests are

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

News

Online Adversarial Purification based on Self-supervised Learning aacepted to ICLR 2021!!

Teaching

  • Winter 2020: DSC 40A Theoretical Foundations of Data Science I
  • Winter 2020: 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