Hi! I'm an Assistant Professor of computer science at Northeastern University and director of the Geometric Learning Lab. My research is on symmetry in deep learning.
Our research spans from theory of deep learning through the lens of symmetry to development of new equivariant models to applications of equivariant neural networks to a diverse set of applications in science and engineering.
Updates
---- 2025 ---
Awarded the NSF CAREER Grant for the project Improving Data Efficiency in Deep Learning with Relaxed Symmetry Constraints, receiving $600,000 for the period 2025-2030.
I will be speaking at the NeurReps Workshop in San Diego, CA in December 2-7, 2025.
I will be presenting Research on Equivariant Neural Networks for Dynamics and Control at the Woods Hole Oceanographic Research Institute in November 5, 2025.
Will speak about How to Design Neural Networks to Understand Algebraic and Geometric Structure at the upcoming ML Seminar held during The Institute for Computational and Experimental Research in Mathematics (ICERM) conference this November 4, 2025.
I will be presenting Research on Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries at the GATech AI4Science Presentation in October 28, 2025.
Awarded the EAI Seed Funding of $60,000, in collaboration with Peter Schindler (MIE).
Awarded the Northeastern TIER 1 Interdisciplinary Seed Grant funding of $50,000, in collaboration with Peter Schindler (MIE).
I will present at the Equivision Workshop during CVPR in Nashville, TN in June 11, 2025.
I will give a talk at the GRASP Seminar at the University of Pennsylvania in April 22, 2025.
I will be presenting on the topic of Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries during the Joint Mathematics Meetings AMS Special Session in Seattle, WA in January 18, 2025.
---- 2024 ---
I will present Research on Simulating Radar Using Equivariant Graph Neural Networks at the Recent Advances in AI for National Security Conference in Bedford, MA in December 16, 2024.
I will speak about pushing the limits of Equivariant Neural Networks at the IROS Workshop on Equivariant Robotics in Abu Dhabi, UAE in October 14, 2024.
I will share insights on pushing the limits of Equivariant Neural Networks at The AI Institute in Cambridge, MA in October 2024.
I will discuss pushing the limits of Equivariant Neural Networks during the NeurReps Global Speaker Series at MIT in October 23, 2024.
Recognized as an Outstanding Paper Finalist at the Conference on Robot Learning (CoRL) , held November 6 to 9, 2024.
Awarded Best Paper at the 2nd Workshop on High-dimensional Learning Dynamics at ICLR , 2024.
I will discuss Equivariant Neural Networks at the Computer Vision Reading Group at CalTech in June 18, 2024.
I will discuss Equivariant Neural Networks at the Symposium on Graphics Processing Graduate School at MIT in June 22, 2024.
I will present Research at the AstroAI Seminar at the Harvard Smithsonian Center for Astrophysics in June 17-21, 2024.
I will deliver an oral session on Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries at ICLR in Vienna, Austria in May 7 to May 11, 2024.
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