About Me

Currently, I am an HPC Software Engineer at Qognitive. I design and implement efficient numerical methods for machine learning and quantum computing algorithms and workflows. Previously, 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 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:

Name Description
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.

Talks

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