swift@honeydew
About
Programmable medicines are the future. Which is why I've spent my past working on them. We're not there yet, but we're getting really, really close.
I started my career at miRagen therapeutics, an early RNA medicine company.
I then got a PhD with Stephen Quake at Stanford. We studied how immune cells coordinate and make decisions. We also built Tabula Sapiens: single-cell atlas of the human body, which now powers ML models and (sigh) virtual cells.
Late in my PhD, I spent time with Longitude Capital helping them evaluate markets and startups in the biotech sector.
Now I'm with Kerna Labs developing mRNA therapeutics. We develop ML models of RNA biology that help us control how much protein is made, in which cells, and for how long.
Off-hours: making chillwave music. I also play hockey.
A systems-level view of B cells by sampling multiple hard-to-study organs within the same individual. [paper]
During reprogramming, cells often replicate. To what extent do the resulting related cells maintain their shared identity during this process? [paper]
One of the foundational datasets that enable machine learning models of biology, molecular medicine, and, **sigh**, virtual cells. [webpage]
Some good blogs I've stumbled across over the years
neural language transformations to lyrics like guitar pedals transform sound
a clean, professional LaTeX template for creating job description PDF
a clean LaTeX template for academic journal submission cover letters
generative image model collages
Do protein language models capture meaningful features of antibody sequences?