Adam FreundDavid Kelley Scientist, Bioinformatics

Research Focus

With the convergence of big biological data, machine learning advances, and accessible genome editing, we now have the tools to significantly enhance our ability to read DNA and interpret variation. My current research focus is developing machine learning methods, especially based on deep representation learning, to learn how cells regulate gene expression throughout their lifespans.

During a postdoc in John Rinn’s lab in the Stem Cell and Regenerative Biology department at Harvard University, I performed numerous analyses of long noncoding RNA function and evolution, and introduced deep convolutional neural networks to model functional activity of DNA sequences.


Honors & Awards