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
Robust AI for Primordial Physics from CMB and Large-Scale Structure
Talk at Flatiron CCA, New York City, NY, USA
Combining Classical and AI Methods for Primordial Physics from Large-Scale Observations
Talk at Canadian Institute for Theoretical Astrophysics (CITA), Toronto, ON, CA
Combining Classical and AI Methods for Primordial Physics from Large-Scale Observations
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