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Questions I've worked on at the intersection of mathematics, physics, and machine learning.

Accepted poster · NeurIPS AI for Science 2026 · Also accepted at IEEE MIT URTC 2026

Same Dynamics, Different Structures in Energy-Preserving Operator Fits

Coauthored research on identifiability in energy-preserving operator fitting. I built numerical experiments showing how different coefficients can produce the same motion and tested ways to distinguish the models.

Scientific MLApplied MathIdentifiability
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Sushaan Kandukoori · Aarya Patel · Pranava Kumar

Accepted poster on OpenReview ↗

OPT 2026 submission · Decision expected September 29

Rook: Global Permutation Geometry for Neural Routing

Coauthored work on optimization geometry for neural routing. My contributions included implementing the optimizer, running comparisons, and profiling the training computation.

OptimizationMachine LearningRouting
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Sushaan Kandukoori · Aarya Patel

Read the paper ↗