Andres Rios-Tascon

Andres Rios-Tascon

Theoretical Physicist
Computational Scientist

Cornell University


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.

  • Software Development
  • Machine Learning
  • Problem Solving
  • Data Analysis
  • Technology
  • PhD in Theoretical Physics, 2017 - Present

    Cornell University

  • BS in Physics and Mathematics, 2017

    Massachusetts Institute of Technology


Cornell Theoretical Particle Physics Group
PhD Researcher
Cornell Theoretical Particle Physics Group
Aug 2018 – Present Ithaca, NY
  • 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.
MIT Center for Theoretical Physics
Undergraduate Researcher
MIT Center for Theoretical Physics
May 2016 – Jun 2017 Cambridge, MA
  • Expanded novel algorithms to reduce inherent statistical noise in QCD simulations.
  • Developed methods to improve storage efficiency of large datasets of lattice fields.
MIT Laboratory for Nuclear Science
Undergraduate Researcher
MIT Laboratory for Nuclear Science
Jan 2014 – May 2016 Cambridge, MA
  • 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.

Software Projects

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.