Work Experience
GE HealthCare
Systems Engineer
August 2021 - Present
Cardiac Spectral Post Processing (CSPP) Advanced Technology Project (ATP)
- Developed Bayes classifier in Python using Scikit-learn to classify pixels in dual energy CT images
- Wrote a Python script to create and review training data for the classifier (NumPy, Pandas, OpenCV, Matplotlib)
Intelligent Boundary Registration (IBR) ATP (vessel registration for cardiact CT images)
- Wrote C++ code to update DICOM tags and save aorta/coronary masks to be used in the CSPP ATP
- Prototype built using a Docker container in a virtual machine and evaluated in a container on a Linux workstation
- Used Python to evaluate IBR IQ (Likert) scores results (using NumPy, Pandas, Matplotlib)
- Created bash scripts to interface with an image database on a Linux workstation
- Used Python to create a simple MySQL utility for storing IBR IQ results
Snap Shot Freeze 3 (SSF3) ATP (motion correction for cardiact CT images)
- Benchmarked SSF3 algorithm memory consumption and compute performance
- Developed bash script(s) to automate testing a Linux workstation
- Used Python to evaluate results (scripts using NumPy, Pandas, Matplotlib)
Created a Python script to separate cardiac DICOM Series based on phase (pydicom)
Migrated production Python code for SSF2 from Python2 to Python3 using 2to3
Northrop Grumman
Digital Engineer
January 2020 - August 2021
- Developed embedded software (C) for verifying FPGA requirements
- Wrote basic accessor and mutator functions in C++ for an aircraft radar system
Systems Engineer
January 2017 - January 2020
- Developed, debugged, and validated code in MATLAB, C, and C++
Research Experience
Computer Vision & Sensing Systems Labratory, Marquette University
Graduate Student, Electrical & Computer Engineering Department
August 2014 - August 2016
Focus: multi-target tracking, computer vision, statistical (Bayesian) signal procssing
Publications
Journals
Conferences
Thesis
Education
Marquette University, Milwaukee, Wisconsin, USA
Master of Science (M.S.) in Electrical & Computer Engineering
August 2014 - August 2016
- Cumulative GPA: 3.4 / 4.0
- Thesis: An Interactive Likelihood for the Multi-Bernoulli Filter
- Integrated a deep learning technique for pedestrian detection with the Multi-Bernoulli Filter
- Advisor: Dr. Henry Medeiros
- Teaching Assistant for Circuits I & II
Milwaukee School of Engineering, Milwaukee, Wisconsin, USA
Bachelor of Science (B.S.) in Electrical Engineering
September 2010 - May 2014
- Cumulative GPA: 3.3 / 4.0
- Minors: Mathematics, Physics
- Internships: Spectrum Brands (Rayovac Batteries), Kohler Co., Johnson Controls
Awards & Scholarships
- Frank Rogers Bacon Research Assistantship, Marquette University
- Academic Scholarship $8,000/yr., Milwaukee School of Engineering
- Dean's List, 6 Semesters, Milwaukee School of Engineering
Skills
python, bash, scripting, computer vision, multi-target tracking, signal processing, digital image processing, applied mathematics, probability & statistics, LATEX, MATLAB, C/C++, technical communication
Interests
cycling, coffee, hiking, camping, music, reading, photography, information theory, signal processing, image processing, mathematics, computer vision