Eashan Iyer
Mathematical physics + CS at Brown.
I am a junior at Brown University interested in scientific machine learning, computational physics, AI systems, and quantitative problems.
Currently
- Conducting computational physics/beyond-the-standard-model phenomenology research at Brown using Juno mission data
- Exploring applications of AI (foundation models) for scientific research and discovery
- Building miscellaneous software and quantitative projects
Selected work
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Updating fifth-force constraints from Juno
Juno mission data used to constrain long-range fifth forces approximated by a Yukawa potential.
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A Hodge theory for entanglement cohomology
Hodge-theoretic structure of entanglement cohomology in finite-dimensional quantum systems.
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Quantization of the ModMax oscillator
Quantization of a one-dimensional reduction of Modified Maxwell theory, and deformations of quantum mechanics by functions of conserved charges.
Experiments
- We're not Shor — quantum amplitude estimation used to calculate financial portfolio VaR asymptotically faster than classical methods. iQuHACK 2026.
- PolyGreeks — Black–Scholes modeling and Greeks used to identify mispricing in crypto prediction markets. YHack 2026.
- VLA robot benchmark — task performance of a physical robot arm used to benchmark VLA models. TreeHacks 2026.
- ProxyPay — location-attested payments with ARM hardware security. HackHarvard.
- CarbonChain — on-chain tracking of sustainability projects used to verify and validate sustainability claims. PennApps 2025.
- Mount Tabor walking tour — custom-built QR-coded historical signs and walking tour for a historic district. 25,000+ users and growing.
Notes
None yet.