During his time at Very, Daniel has worked with a maker of industrial machines that make corrugated cardboard products to develop their IoT predictive maintenance solution.

Before joining Very, Daniel was a senior research scientist for Hinge Bio, where he designed the company's first data processing pipeline in Python, replacing legacy methods handled in Excel.

Daniel holds a Bachelor of Science in Chemical Engineering from New Mexico State University and a Ph.D. in Biological Engineering from the Massachusetts Institute of Technology, with a focus on Synthetic Biology.