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@MathePhysics

MathePhysics

Mathephysics is an inter-disciplinary research group led by Akshunna S. Dogra, focusing on the construction of rigorous theories for Machine Learning/Artificial Intelligence, and development of principled AI/ML models for mathematical and computational physics settings.

Our students hail from diverse backgrounds (students have come from Albania, Australia, China, Germany, Grenada, India, Pakistan, South Korea, United Kingdom, and the United States) and harbor equally diverse intellectual ambitions (the involved people pursue expertise in various nooks of mathematics, several corners of physics, and the many labyrinthine mazes of machine/deep learning).

Formally supervised students have gone on to earn postgraduate positions at institutions such as Oxford University, University College London, University of Michigan, and UT Austin amongst others, and have found employment at reputable financial institutions such as Squarepoint Capital and Funding Circle.

Please email adogra@nyu.edu, if you would like to see what we are all getting up to and/or wish to be involved in some way.

Popular repositories Loading

  1. UROP-2022 UROP-2022 Public

    Option Pricing with Machine Learning Methods

    Jupyter Notebook 11 3

  2. error-correction error-correction Public

    Error correction of neural network solutions to Poisson’s equation

    Python 2

  3. .github .github Public

Repositories

Showing 3 of 3 repositories
  • UROP-2022 Public

    Option Pricing with Machine Learning Methods

    MathePhysics/UROP-2022’s past year of commit activity
    Jupyter Notebook 11 3 0 0 Updated Jun 18, 2024
  • .github Public
    MathePhysics/.github’s past year of commit activity
    0 0 0 0 Updated Dec 20, 2023
  • error-correction Public

    Error correction of neural network solutions to Poisson’s equation

    MathePhysics/error-correction’s past year of commit activity
    Python 2 MIT 0 0 0 Updated Feb 9, 2023

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