Professionally

I'm Zach, a freshly minted PhD in computer science. I've spent the past several years working on developing better algorithms and modeling techniques for genomics in the DnA Lab. Broadly, my past work has focused on the following areas:

• Bayesian Modeling to improve normalization and quality control of data
• Biological Language Models and interpretability, trying to build sequence models that can reliably understand cell-type specific regulatory differences
• Classical ML, working on pulling apart of mixed cell types in sequencing samples

Outside of that, I've also worked on:

• Pipeline Development and handling huge amounts of data.
• Knowledge Graphs and representation, applied to biomedical data
• Applied Probability looking at noise removal in biological data
• Cell Segmentation Models and how we can apply them to non-eukaryotic systems for effectively

I have a broad, interdisciplinary background, but the core of my interests is making models that work better and that go faster while still being robust. Prior to my PhD, I studied both chemistry and math.

Personally

In my free time, you can find me:

• Outside, running, hiking, and backpacking
• Tinkering with ham radio, either building antennas or up on mountains for Summits on the Air
• Experimenting with fermentation, pushing the boundaries of what I can feasibly produce in a home kitchen