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 and graduate students.

My research interests are

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


  • Non-linear manifold learning in fMRI uncovers a low-dimensional space of brain dynamics accepted to Human Brain Mapping
  • COBRAC: a fast implementation of convex biclustering with compression accepted to Bioinformatics

Talks - Spring 2021

  • ICLR Geometrical and Topological Representation Learning Workshop, (May 7 2021)
  • Applied Math Seminar, Yale University, (May 17 2021)
  • Minisymposium on Tensor Methods: Theory and Practice, SIAM-LA21, (May 18 2021)
  • ACM Symposium: Harnessing Data Science for Autonomous Computing Materials, (May 27 2021)


  • 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