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!
Research Experience
Member of NSF TRIPODS institute for Emerging CORE Methods in Data Science (EnCORE), part of the Neurotheory Network and Pathways 2 AI. Previously a Gibbs Assistant Professor in the Applied Math program at Yale University.
Education
Ph.D. in Electrical Engineering from Technion - Israel Institute of Technology in 2017, supervised by Prof. Israel Cohen; Gibbs Assistant Professor in the Applied Math program at Yale University, working with Prof. Ronald Coifman's research group.
Background
Research interests include Manifold learning, Diffusion geometry, Computational neuroscience, Image processing and graph signal processing, and Applied harmonic analysis. Currently an Associate Professor at the Halıcıoğlu Data Science Institute, UC San Diego, also affiliated with the ECE department, CSE department, Neurosciences Graduate program, and the Institute for Neural Computation.
Miscellany
Scheduled to attend SfN, San Diego (Nov 15-18 2025), TAG-DS, UC San Diego (Oct 5-6 2024), and NeurIPS, San Diego (Dec 1-2 2025).