Kelsic’s research focuses on combining high-throughput molecular automation with machine learning to engineer new technologies for genetic medicine. He currently works with Professor George Church on a project at the Wyss Institute to discover highly efficient, anti-immunogenic, cell- and tissue-specific AAV capsid proteins for in vivo DNA delivery. By developing improved search algorithms for protein engineering, he hopes to improve and enable applications ranging from the treatment of rare genetic diseases and chronic genetic ailments to new anti-aging therapies. Eric received his Ph.D. in Systems Biology from Harvard University in 2015, and prior to that a B.S. in Physics from the California Institute of Technology. During his Ph.D. work in the lab of Professor Roy Kishony he discovered new ways that high-order species interactions affect the stability of microbial communities. He also co-developed the MAGE-Seq method for combining high-throughput DNA sequencing and genome engineering and showed how RNA folding determines optimal codon preferences for infA, an essential and universally conserved gene of Escherichia coli.