Bio
Education
Stanford University | Ph.D. Student, Chemical Engineering. GPA: 4.1 / 4.0.
Exploring research interests along the lines of: photonic, neuromorphic, and quantum computing
Sept. 2025 - Present
University of Minnesota, Twin Cities | B.Ch.E. in Chemical Engineering, B.S. in Mathematics with high distinction at age 19.
Double minors in chemistry and computer science. GPA: 3.99 / 4.0.
Sept. 2021 - May 2025
Stanford graduate courses
- Applied Math: A World of Flows
- Chemical Kinetics and Reaction Engineering
- Microhydrodynamics
- Molecular Thermodynamics
- Solid-State Physics II
- Ultrafast Quantum Physics
UMN graduate-level courses
- Advanced Machine Learning
- Deep Learning
- NLP with Deep Learning
- Robot Vision
- Nonlinear Dynamic Systems and Control
- Numerical Optimization
- Microelectronic Fabrication+Lab
- Computational Fluid Dynamics
- Stochastic (Ito) Calculus
- Quantitative Hedge Fund Strategies
- Portfolio Optimization
Undergraduate courses (Math)
- Partial Differential Equations I/II
- Algorithms/Data Structures I/II (also teaching assistant for 1 semester)
- Enumerative Combinatorics
- Graph Theory
- Numerical Methods I/II
- Complex Analysis
- Fundamental Structures of Algebra
- Numerical Linear Algebra
Undergraduate courses (ChemE)
- Mass/Energy Balances
- Organic Chemistry I/II/Lab
- Materials Eng.
- Physical Chemistry
- Thermodynamics
- Process Analytical Chemistry
- Transport Phenomena
- Reaction Eng.
- Mass Transport/Separations
- Unit Operations Lab I/II
- Biomolecular Eng.
- Quantum Mechanics
- Solid-State Physics
- Chemical Engineering Design
Other topics of study
- Classical Mechanics (C. Lancos, Variational Principles of Mechanics)
- Electrodynamics + Special Relativity (D.J. Griffiths)
- General Relativity (S. Carroll, Spacetime and Geometry)
- Topology (J. Munkres)
- Analysis I, II, III (H. Amann and J. Escher)
- Reinforcement Learning (R. Sutton and A. Barto)
- Partition Theory (G.E. Andrews)
- The Symmetries of Things (J.H. Conway)
- Options, Futures, and Other Derivatives (J. Hull)
- Control Systems Engineering (N. Nise)
Recent readings
- The Black Swan (N.N. Taleb)
- Chip War (Chris Miller)
- What is Life? (Erwin Schrodinger)
- Scarcity (Sendhil Mullainathan, Eldar Shafir)
- A Man for All Markets (Edward Thorp)
- Thinking, Fast and Slow (Daniel Kahneman)
- Freakonomics (Steven Levitt, Stephen Dubner)
- Nudge (Richard Thaler, Cass Sunstein)
- Success and Luck (Robert Frank)
- Adaptive Markets (Andrew W. Lo) - a personal favorite!
- Misbehaving: The Making of Behavioral Economics (Richard Thaler)
Work Experience
HII (Huntington Ingalls Industries) | Machine Learning Engineering IV Intern.
Deep reinforcement learning: Deceptive-reward exploration, model-free and offline RL for satellite guidance. Publications pending.
May 2025 - Aug. 2025
Applied Materials | Process Engineering Intern.
PECVD and dielectric depositions. Engineered various thin-film chemistries and direction-selective deposition processes.
May 2024 - Aug. 2024
Altair Engineering (now part of Siemens AG) | Polymer Material Data Analytics Intern.
Developed CFD solvers and machine-learning test suite for simulating polymer melt flows in injection molding.
May 2023 - Aug. 2023
Talyn Air (now part of Ampaire) | Data Science Intern.
Market research and competitive intelligence, cost/GHG estimates, and optimal routing for eVTOL fleet.
Sep. 2022 - Dec. 2022