Winston-Salem, NC · Open to work
Data, machine learning, and digital intelligence for any field.
I transcribe noise into data, and translate data into signal.
I build the pipelines and models that turn messy data into something useful: cleaning it, training models on it, and wiring language models into tools people can actually use. Biology is where I learned to read complex systems, and the same methods carry to any field.
1At a glance
Recent work, by the numbers.
2Four disciplines, one pipeline
I work the full path from the bench to the model, so a project does not have to hand off between four different people.
Applied digital intelligence
I train and deploy models, run computer vision on edge hardware, and build LLM pipelines that turn raw text into sentiment and structure.
Data engineering
Messy source in, analyst-ready report out. I write the Python that cleans the data, automates CRM entry, and does the reporting.
Bioinformatics
Parse the FASTA, find the restriction sites, translate to protein. The output is a tool the bench can run, not a spreadsheet to wrangle.
Wet-lab biotech
Before the code came the bench: mammalian cell culture, recombinant DNA, aseptic technique. It is the science the rest connects to.
3Selected work
Seven projects, real outcomes.
4Interactive demos
Explorable visualizations built from very different datasets: music, biology, space, games, and wine.
5Why this work
The perceptron, the unit behind every neural network, was modeled on the biological neuron. The overlap between biology and machine learning is what pulled me in, and it is what I have worked on since.
6Get in touch
Have a noisy problem worth solving? Email is the fastest way to reach me, and I am happy to talk through a problem even if there is no role attached yet.