Elana P. Simon

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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

  1. transcriptomic.png
    Transcriptomic characterization of fibrolamellar hepatocellular carcinoma
    Elana P Simon, Catherine A Freije, Benjamin A Farber, and 8 more authors
    Proceedings of the National Academy of Sciences, 2015
  2. chimera.png
    Detection of a recurrent DNAJB1-PRKACA chimeric transcript in fibrolamellar hepatocellular carcinoma
    *Joshua N Honeyman, *Elana P Simon, Nicolas Robine, and 8 more authors
    Science, 2014
  3. nanobody.png
    Protein design and variant prediction using autoregressive generative models
    Jung-Eun Shin, Adam J Riesselman, Aaron W Kollasch, and 6 more authors
    Nature communications, Apr 2021
  4. chemberta.png
    Chemberta-2: Towards chemical foundation models
    *Walid Ahmad, *Elana Simon, Seyone Chithrananda, and 2 more authors
    ELLIS Machine Learning for Molecule Discovery Workshop, Dec 2021