CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Theoretical physics benchmark (TPBench) — a dataset and study of AI reasoning capabilities in theoretical physics

Two-field formalism for a neural network-enhanced non-Gaussianity search with halos

Reconstruction of Dark Matter and Baryon Density From Galaxies: A Comparison of Linear, Halo Model and Machine Learning-Based Methods

KSZ Velocity Reconstruction with ACT and DESI-LS using a Tomographic QML Power Spectrum Estimator

Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks

Autodifferentiable likelihood pipeline for the cross-correlation of CMB and large-scale structure due to the kinetic Sunyaev-Zeldovich effect

Classification of equation of state in relativistic heavy-ion collisions using deep learning

Talks

Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks

December 15, 2024

Poster at NeurIPS-2024, Vancouver, CA

Neural-network enhanced estimator of the primordial non-Gaussianity from dark matter halos

April 04, 2024

Talk at Perimeter Institute, Cosmology group meeting, Waterloo, ON, CA

An autodifferentiable likelihood analysis pipeline of the CMB & LSS cross-correlation via kinetic Sunyaev-Zeldovich effect

November 08, 2023

Talk at Leinweber Institute for Theoretical Physics, University of Michigan, Ann-Arbor, MI, USA

An Autodifferentiable Likelihood Analysis of CMBxLSS Cross-Correlation via kSZ Effect

September 15, 2023

Talk at COSMO-23, Instituto de Física Teórica (IFT UAM-CSIC), Madrid, Spain

Reconstruction of Velocity of the Universe with Joint CMB & LSS Likelihood Analysis

July 11, 2023

Talk at Cosmology from Home, online

Teaching

PHYS-361 Machine Learning in Physics (Spring 2024)

PHYS-307 Intermediate Laboratory-Mechanics and Modern Physics (Spring 2021)

Service and leadership

• Currently signed in to 43 different slack teams