Welcome

I am a Gibbs assistant professor in the Applied Math program at Yale University. I am currently with Prof. Ronald Coifman's research group on high-dimensional data analysis. I completed my PhD at the Technion at the Faculty of Electrical Engineering under the supervision of Prof. Israel Cohen. I coordinate the Applied Math seminar. Please let me know if you have something interesting to present.
My research interests are

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

Teaching

  • Spring 2019: MATH 222 Linear Algebra with Applications
  • Spring 2018: AMTH 160 Structure of Networks

Travel 2018/19

  • Stanford University (Dec. 4-5 2018)
  • Northwestern University (Jan. 7-8 2019)
  • University of Toronto (Jan. 10-11 2019)
  • University of Chicago (Jan. 22-23 2019)
  • ESE, University of Pennsylvania (Feb. 8 2019)
  • Wharton, University of Pennsylvania (Feb. 13-14 2019)
  • UCSD (Feb. 19-20 2019)
  • MIT (Feb. 25-26 2019)
  • Berkeley (Mar. 7-8 2019)
  • NIH BRAIN Initiative PI meeting, Washington DC (Apr. 11-13 2019)
  • ICASSP-2019, Brighton UK (May 12-17 2019)
  • Graph Signal Processing Workshop, Minneapolis (June 5-7 2019)
  • OCNS 2019, Barcelona (July 16-17)
  • Computational Harmonic Analysis and Data Science, BIRS (Oaxaca) (Oct. 27 - Nov. 1 2019)