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
Test-time Scaling Techniques in Theoretical Physics – A Comparison of Methods on the TPBench Dataset
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
TBA
Talk at Flatiron CCA, New York City, NY, USA
TBA
Talk at Perimeter Institute, Waterloo, ON, CA
AI Reasoning for Theoretical Physics
Talk at AI4EIC at IAIFI, Boston, MA, USA
Velocity reconstruction via kSZ effect from ACT-DR6 and DESI-LS
Talk at COSMO-25, CMU, Pittsburgh USA
Neural-network enhanced estimator of the primordial non-Gaussianity from dark matter halos
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
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
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
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