cv

Basics

Name Gurbir Arora
Label Researcher
Url https://gurbir-a.github.io/

Education

  • 2019.08 - 2025.12

    Waltham, MA

    PhD
    Brandeis University
    Physics
  • 2015.07 - 2019.07

    Mumbai

    B.Tech
    Indian Institute of Technology Bombay
    Engineering Physics

Publications

Skills

Tech Stack
Python
C++
Pandas
NumPy
SciPy
scikit-learn
Computer Science
Machine Learning
Artificial Intelligence
Physics
Gravity
Quantum Field Theory
Holography
Mathematics
Probability
Statistics
Linear Algebra
PDE analysis
Differential Geometry

Projects

  • 2024.01 - 2025.07
    Tensor Network Analysis of Python’s Lunch Conjecture
    Collaborated on Tensor Network approaches to black-hole interior reconstruction, investigating how newly identified bulge-surface geometry affects algorithms and providing evidence for faster information extraction.
  • 2022.11 - 2024.01
    Geometric Analysis of Python’s Lunch Conjecture
    Analyzed time complexity for interior reconstruction and developed a mathematical framework for the bulge surface; solved PDE eigenvalue problems in multiple geometries with implications for Tensor Networks.
  • 2018.07 - 2019.05
    Entanglement Entropy in Field Theories (Bachelor’s Thesis)
    Reviewed entanglement entropy in the 2D AKLT model, the replica trick for 2D CFTs, and the quantum Hall effect via Chern–Simons theory; integrated methods across lattice models and continuum field theory.
  • 2018.05 - 2018.07
    Supersymmetric Path Integrals and the Index Theorems
    Studied 0+1D supersymmetry and superspace; rederived Gauss–Bonnet and Hirzebruch signature results; reproduced the Dirac index leading to the Atiyah–Singer index theorem; explored localization for SUSY path integrals.
  • 2017.07 - 2017.11
    Quasinormal Modes of Black Holes
    Analyzed ringdown behavior using analytic methods for Schwarzschild and Reissner–Nordström black holes and extended the study to f(R) gravity; later published an accessible overview.
  • 2017.05 - 2017.05
    Cosmic Microwave Background Detection
    Worked with the KUMODeS II receiver (KEK) to detect atmospheric water vapor and CMB signatures; explored adapting CMB-detection techniques for weather forecasting with Python-based analysis and modeling.
  • 2017.02 - 2017.07
    Analysis of Dwarf Spheroidal Galaxies for Dark Matter Signal
    Processed Fermi-LAT GeV data on an HPC cluster; modeled fluxes using CLUMPY J-factors and density profiles; used HEALPix masking and χ² fits to estimate NFW parameters.

Awards

  • 2019
    Undergraduate Research Award
    Indian Institute of Technology Bombay
    Conferred for junior year thesis titled “Quasinormal Modes of Black Holes.”
  • 2018
    Runner-up for Data Analysis Championship
    Indian Institute of Technology Bombay
    My team and I developed an algorithm to isolate a gravitational-wave signal and inferred the merger mass.

Volunteer

  • 2015.08 - 2016.08

    Mumbai

    Teacher
    National Service Scheme
    I volunteered to teach computer skills to students from low-income communities, covering digital fundamentals, Microsoft Word, and Excel.

References

Professor Matthew Headrick
Professor Albion Lawrence