About Me
I'm currently a Member of the Technical Staff at AMD working on open source C++ software for AI and Data Science. Previously, I was a Senior Research Engineer at Qognitive where I designed and implemented efficient numerical methods for machine learning and quantum computing algorithms. Before that, I was a Member of the Technical Staff at Lucata where I worked on porting GraphBLAS to Lucata's custom hardware. My work focused on implementing highly parallel linear algebra methods in C/C++. Before that I was a Flatiron Research Fellow in the Center forCenter for Computational Quantum Physics at the Flatiron Institute developing more efficient and robust algorithms for quantum chemistry. For a detailed description of my experience and publications please see my resume.
Software
I contribute to a number of open source software projects, here are a few:
Fast Pauli
A fast and memory efficient library for evaluating and simulating Pauli strings for quantum computing and machine learning.
PySCF
An accessible Python package for quantum chemistry.
Dice
Implementation of the heat-bath configuration interaction (HCI) algorithm for strongly correlated quantum chemistry calculations.
FRI-CC
The fast randomized iteration algorithm applied to coupled cluster methods.
Blog
Thoughts and tutorials on scientific computing, quantum chemistry, and software development.
Talks
- CMake Intro Lucata Inc. Internal Meeting 2023
- PySCF Overview Talk, CCQ Retreat 2021
- SHCI: A Semi-Pedagogical Introduction, Berkelbach Group Meeting 2020