Anna Thomas is Director of Machine Learning at FSI’s Food Intelligence Lab and a current PhD candidate in Computer Science at Stanford University. She co-leads a project at FSI, supported by the Bezos Earth Fund’s AI for Climate and Nature Grand Challenge, to develop open-source AI systems for sustainable protein development.

Anna earned her B.S. in Mathematics from Stanford University, with a minor in Computer Science, and holds a Master’s degree in Mathematical Statistics (Part III of the Mathematical Tripos) from the University of Cambridge, where she was a Churchill Scholar. She has also been supported by the Stanford Data Science Scholars Fellowship, NECTAR Fellowship, and NSF Graduate Research Fellowship. Her work has been published in ICML, NeurIPS, and Nature Food.