Elana P. Simon
I’m in the second year of my PhD at Stanford University, advised by James Zou, working on various projects at the intersection of machine learning and biology (currently immunology and genomics). Previously I worked at Reverie Labs as an ML engineer helping design small molecule cancer drugs. As an undergrad, I studied Computer Science at Harvard and worked with Debora Marks on protein language models.
I’ve also a lot of research on Fibrolamellar Hepatocellular Carcinoma (FLC) and still do volunteer work related to FLC and other pediatric cancers. I’m currently one of the directors of the Fibrolamellar Registry and a patient advocate for a cancer grand challenges team working to develop oncoprotein degraders for pediatric solid tumors including FLC.
selected publications
- Transcriptomic characterization of fibrolamellar hepatocellular carcinomaProceedings of the National Academy of Sciences, 2015
- Detection of a recurrent DNAJB1-PRKACA chimeric transcript in fibrolamellar hepatocellular carcinomaScience, 2014
- Protein design and variant prediction using autoregressive generative modelsNature communications, Apr 2021
- Chemberta-2: Towards chemical foundation modelsELLIS Machine Learning for Molecule Discovery Workshop, Dec 2021