I am a theoretical physicist and computational scientist who will soon graduate with a PhD in Physics from Cornell University. My work in graduate school has revolved around exploring solutions of String Theory using computational algebraic geometry. I have developed powerful new algorithms to perform computations exponentially faster than with existing mathematical software. All of these advancements are now available in the open-source package CYTools, which I created in an effort to drive progress in the field. This package has allowed unprecedentedly complex constructions and is now being used by multiple groups around the world.

I am now seeking to leverage my expertise in a new field. I am interested in solving difficult problems and tackling the biggest computational challenges. My Physics and Mathematics background allows me to have a deep understanding of the underlying data and exploit mathematical structures to engineer exceptional algorithms. I hope to continue making outstanding computational contributions as I did in String Theory.

Interests

- Software Development
- Machine Learning
- Problem Solving
- Data Analysis
- Technology

Education

PhD in Theoretical Physics, 2017 - Present

Cornell University

BS in Physics and Mathematics, 2017

Massachusetts Institute of Technology

PhD Researcher

Cornell Theoretical Particle Physics Group

- Studied string theory using computational algebraic geometry.
- Developed powerful algorithms that exponentially outperform previous mathematical software in key computations.
- Created CYTools, an open-source package that makes my computational advancements available to the string theory community.
- Devised machine learning techniques to explore solutions of string theory.

Undergraduate Researcher

MIT Center for Theoretical Physics

- Expanded novel algorithms to reduce inherent statistical noise in QCD simulations.
- Developed methods to improve storage efficiency of large datasets of lattice fields.

Undergraduate Researcher

MIT Laboratory for Nuclear Science

- Assessed prospects for future studies of the Higgs boson at particle colliders.
- Simulated and analyzed particle collisions to devise efficient algorithms to perform accurate measurements.
- Used novel statistical methods to detect subtle deviations from distributions.

A software package for analyzing Calabi-Yau manifolds in toric varieties.

I have been a Teaching Assistant (TA) for the following courses:

- Electronic Circuits - Fall 2022.
- Waves and Thermal Physics - Spring 2020.
- Interfacing the Digital Domain with an Analog World - Fall 2019.
- Oscillations, Waves, and Quantum Physics - Fall 2018, Spring 2019.
- General Physics I and II - Summer 2018.
- Electromagnetism - Fall 2017, Spring 2018.

- [email protected]
- (617) 682-0496
- Physical Sciences Building, Cornell University, Ithaca, NY 14850