Principal Software Engineer - Accelerate Diagnostics

January 2014 - September 2021
  • Developed Clonetracker, the image processing component of the Pheno product. Clonetracker implements a traditional image processing pipeline to analyze bacteria in fluorescence and dark-field microscopy images in C++/CUDA. Working in a team of three, I was solely responsible for application performance and the production codebase from inception to 2018. It is in use in hundreds of hospitals.
  • Designed, procured, and implemented the Opus Feasibility Computing Environment, an on-premises all-flash parallel filesystem, private high-speed ethernet network, and GPU-based batch processing system to support algorithm development for AXDX’s next AST instrument.
  • Developed a software package for manual and automated interpretation of broth microdilution (BMD) plates. This software provided key reference data for the Pheno product. Automated interpretation based on optical density matched expert human performance.
  • Lead statistician on the Pheno FDA De Novo clinical trial and submission. I designed the set of experiments, analyzed all data in R, provided results for the clinical study report, and negotiated labeling with FDA. I also led clinical trial design for the Pheno Bacterial Pneumonia (BP) test kit in which I successfully negotiated a 75% reduction in prospective samples required in the main arm of the study.

Senior Software Engineer - ArrayFire

May 2013 - December 2013
  • Developed optimized CUDA kernels for clients’ production codebases (including MathWorks’s Matlab) and the ArrayFire open source library

Computer Scientist (Future Technologies Group) - Oak Ridge National Laboratory

June 2009 - May 2013

Performed independent computer science research evaluating emerging computing technologies and supported DoE’s scientific applications. Select projects include:

  • Aspen: A domain specific language for performance modeling designed to estimate the tradeoffs of large-scale scientific applications
  • SHOC: A benchmark suite for GPU clusters including low-level performance primitives through kernels of scientific applications, implemented in CUDA, OpenCL, and MPI.
  • Keeneland: NSF’s 5-year, Track 2D project to bring innovative computing architectures to the open science community. I was involved in all aspects of the system including acquisition, benchmarking, acceptance testing, and application tuning for the 264-node cluster.
  • S3D: I developed a GPU-accelerated version of S3D, software for direct numerical simulation of turbulent combustion (Navier-Stokes) with complex chemistry, implemented in CUDA and MPI.


Degree Institution Year
M.S. Computer Science Georgia Institute of Technology 2007-2009
B.S. Computer Science Georgia Institute of Technology 2004-2007


FDA Submissions