my education ✍🏽

I'm currently a senior at Stanford pursuing degrees in Physics and Computer Science. These fields enable me to practice first-principles thinking and broadly map to my academic interests in robotics, decentralized networks and market design.

As a part of my studies, I was part of Stanford's Energy Theme House, where I explored the lifecycle of climate-tech businesses, with visits to Tesla's Nevada gigafactory and Redwood Material's HQ. In my freshman year, I completed Stanford's Structured Liberal Education (SLE) program, living and learning with an extraordinary group of friends. Here's a photo of SLE's annual yosemite trip!

Earlier, I graduated from Monta Vista High School in 2022, where I primarily led business and tech for El Estoque. I also acted as class president at a time and co-presided the school's mock trial team.

I've also been lucky to be able to attend some amazing conferences like OpenAI DevDay, Horizon Quantum's Triple Alpha launch, Citadel's 2024 Trading Invitational, TechCrunch Disrupt 2023, GCP's Fall Workshop and Cal Hacks. For any journalists, I'm an alum of Medill's Cherubs program and have attended many JEA, NSPA and SNO workshops.

I'm currently learning Spanish and Mandarin at Stanford, and speak (some) Hindi and English. And I like to play the acoustic guitar sometimes - currently learning 'Slow Dancing in a Burning Room' by John Mayer.

My resume is linked here.

my coursework 📚

I'm currently taking CS 237a: Autonomous Robotics, CS 224W: Graph Learning, POLISCI 33SI: Innovating for an Effective Government and Physics 131: Intermediate Quantum Mechanics. For my previous coursework, I did my best to pull out my favorite course highlights.

Physics

61: Mechanics and Special Relativity - Lorentz transformations, space-time invariance and causality, by Prof. Pat Burchat!
71: Quantum and Thermal Physics - uncertainty principle, wave equations, fourier transforms and some stat mech.
81: E&M using Special Relativity and Vector Calculus - symmetry proofs, Maxwell's equations, electromagnetic waves.
108: Advanced Laboratory Project - lots of hours in the lab experimenting with lasers and NV diamond centers in pursuit of a room-temperature qubit ensemble.
112: Mathematical Models for Physics - group theory and complex analysis by Professor Kivelson.
113: Computational Physics - monte carlo and numerical methods for PDEs including stability analysis, with final paper on implementing Shor's and Grover's algorithms.
120: Intermediate E&M - electrostatic fields and deriving maxwell's equations.
130 and 131: Quantum Mechanics I and II - more uncertainty principles, solving hydrogen atom, time-dependent perturbation theory and time-energy symmetries.

Math

51: Linear Algebra & Multivariable Calculus - matrix algebra, gradient optimization, some Markov chains.
52: Integral Calculus of Several Variables - Gauss and Stokes's thereoms.
53: Differential Equations with Linear Algebra and Fourier Methods - stability analysis, BVPs and fourier transforms by Prof. Asserian : )
131P: Partial Differential Equations - Sturm-Liouville Problems... wrote a final paper on Schrödinger's Equation.

Computer Science

131: Computer Vision - pose estimation, 3d object segmentation, with final project on using CNNs for Nanoparticle classification via XFEL Diffraction Interference.
161: Design and Analysis of Algorithms - asymptotic analysis, efficient search and storage, graph traversal, dynamic programming and randomization.
221: Artificial Intelligence - constraint satisfaction, markov decision processes, logic with final project on Estimating Task Uncertainty in Robotics.
224R: Deep Reinforcement Learning - reward learning, goal conditioned RL, imitation learning. Trained a diffusion based hierarchical imitation learning model.
230: Deep Learning - hyperparameter tuning, convolutional neural networks and best practices in deep networks with Prof. Andrew Ng, final project on Multi-Agent Bidding.

MS&E / GSB

148: Ethics of Finance - guest speakers included Rob Chestnut (Airbnb General Counsel) and Michele Korver (Crypto Regulatory at a16z) with a final report.
135: Networks - graph theory, information diffusion, aggregate behavior in markets and crowds, I added to course blog.
232: Intro to Game Theory - more rigorous treatment of infinite and finite games, some mechanism design by Prof. Ramesh Johari.
105: Strategic Management in Entreprenuerial Ventures - former GSB Dean Garth Saloner's case studies on Doordash (Founder Tony Xu and Seed Alfred Lin), Nextdoor (CEO Sarah Friar) and Smitten Ice Cream (Founder Robyn Sue Fisher).
102: Future of Payments - correspondent banking, mobile wallets, central bank digital currencies and stablecoins by GSB Prof. Darrell Duffie.

SLE

91: SLE Fall - Gilgamesh, Homer's Odyssey, Plato and Aristotle, Qu'ran, Yuri Herrera's Signs taught by Michaela Hulstyn.
92: SLE Winter - Sir Gawain, Dante's Inferno, Descartes's Meditations, Frankenstein taught by Michaela Hulstyn, wrote a paper on Bruegel's Fall of Icarus.
93: SLE Spring - Marx, Baldwin's Stranger in the Village, Freud, Surrealism, Sartre's Existentialism and Fanon's Wretched of the Earth taught by Jeremy Sabol. Wrote 20 pages on Marx, Labor Networks and Opportunity Insights.

Other

English 66: A Model Island - historical perspectives of the UK with a couple papers.
Design 245: Redesigning Finance - user-centered and iterative design focused on new-grad wealth management under Prof. Brandon Middleton and Prof. Bruce Cahan.
Artstudi 151: Sculpture - one of my favorite classes, free-play in stanford's beautiful art studio with Prof. Kerri Conlon.
AA 160: Private Pilot Ground School - first step towards my private pilot license, must more be said?
Oceans 165: Tinkering in Marine Science - built OpenCTD sensor and went experimenting at Stanford's Hopkins Marine Station.
History 3F: Modern Military History - military revolutions, 'western' ways of war and wrote final paper on digital intelligence strategies.

If you have course suggestions or questions, please do reach out.