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 Dhruv on successfully defending his PhD!
- Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance accepted as spotlight to NeurIPS 2025!
- Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization accepted as Oral to NeurIPS workshop on New Perspectives in Graph Machine Learning! Preprint here.
Talks and travel - 2025
- SfN, San Diego (Nov 15-18 2025)
- TAG-DS, UC San Diego (Oct 5-6 2024)
- NeurIPS, San Diego (Dec 1-2 2025)
Teaching
- Fall 2025: DSC 40A Theoretical Foundations of Data Science I
- Winter 2026: DSC 120 Signal Processing for Data Analysis
- Winter 2026: DSC 205 Geometry of Data