Durham, North Carolina, United States
Medical software engineer with previous experience in point-of-care ultrasound, image analysis, data analysis, deep learning AI, and bioinformatics.
Commercial and federal business development, medical device project management, medical AI research and development, ultrasound software development. Submitted $3.74M of federal NIH and DoD-related grants in 2023. Manage a portfolio of commercial and federal projects. Project lead on the Traumatic Brain Injury project (Winner of MTEC 2021 Prototype of the Year). Lead developer on ITKPOCUS, an open source library for preprocessing and streaming point-of-care ultrasound video.
Providing strategic planning on technology and facility investments, budget planning, and ensuring strong HIPAA Security. Working with a great team to achieve to Galloway Ridge's mission: to inspire meaningful and engaged lives and to assure each resident a superior quality of life and care.
Creating technology confidence in senior communities in order to empower and enrich lives. Protecting healthcare information as HIPAA Security Officer. Developing information technology strategies for cost-effective, efficient, and collaborative business operations.
I worked to implement transposon sequencing in C. elegans, the first in a whole animal model. This has required the design and creation of transgenic strains as well as the design and implementation of a new amplicon sequencing protocol for Illumina. I handled the entire stack of the project: from worm handling, to whiteboarding and designing molecular reactions, to PCR/qPCR/cloning/microinjection/library prep, to simulation and genomic data analysis. I also designed and developed WormSizer, an application which identifies nematodes in brightfield images and reports their size (estimates volume) and shape. The application was written in Java and is implemented as a plugin for ImageJ (Fiji). I avoided hard image analysis problems by designing the preparation protocol for the images. Principal Investigator: L. Ryan Baugh Collaborating PIs: Sayan Mukherjee, Tim Reddy, Erik Andersen
I developed image analysis software for confocal fluorescence microscopy (3D, multimodal). I wrote algorithms for object detection (Hough transform, topology-based algorithms), crosstalk removal (i.e. correcting for fluorescence in one channel bleeding into the next), and registration to an atlas (affine transformation using morphology). I also designed and developed a user interface that allowed biologists to track and process over ten thousand root images. Principal Investigators: Uwe Ohler and Philip N. Benfey