My life goal is to use machine learning to efficiently design microbes that produce renewable chemicals. Trained as a Chemical Engineer (BS from UC Berkeley, PhD from University of Washington with the Advance Data Science Option), I bring together knowledge of biochemistry, industrial biotechnology, and data science to accelerate the rate at which we can improve engineered microbes. My work at Zymergen involves developing machine learning algorithms and software to predict which genetic edits will result in more productive microbes, allowing us to improve organisms more rapidly.