Jamie Dixon is a lifelong technologist who spent his childhood in front of green screens and adulthood with his fingers on the keyboard. He is a passionate and continual learner who has moved seamlessly across domains. He is a leader of high-performing teams that deliver high-ROI solutions on-time and on-budget. His current interest is focused on computational genomics and the application of both modern software engineering techniques and the latest in machine learning to improve dna/rna/protein modeling performance and accuracy.
Talks I've Given
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Rethinking Bioinformatic Algorithms Using F#
Featuring Jamie Dixon
In this talk Jamie Dixon addresses two problems in biomedical research — reproducibility & complexity — by looking at basic implementation of pattern matching DNA/RNA sequences using traditional code constructs and then reimplementing them using F#.
f# reproducible-research rna dna bioinformatics -
STOCK CARS, RASPBERRY PI, AND F#
Featuring Jamie Dixon
In North Carolina, stock car racing borders on obsession – with local track racing rivaling high school football as a popular Friday night family activity. Different local tracks have different classes of cars and Jamie's son ran in the intro division of 5/8 size car at three local speedways...
autoracing python iot raspberry-pi fsharpx fsharp f# -
Smart Nerd Dinner: Injecting Analytics Into Your Business Application
Featuring Jamie Dixon
Nerd Dinner is the canonical example of a MVC application and is very familiar to web devs who want to learn MVC the Microsoft way. For everything that Nerd Dinner is, it is not terribly smart, for example, there are no business rules outside of some basic input validation.
The tutorial is going...
My Work
@jamie_dixon has not provided any work info yet.
Social and Blogging
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