Marissa Ramirez de Chanlatte

Marissa invests across Next-Gen Compute, AI, Robotics, and Climate Tech. She started her career in High Performance Computing and Computational Neutronics, modeling nuclear reactors on the Titan supercomputer at Oak Ridge National Lab. After that, she returned to her alma mater at UC Berkeley to join the Applied Numerical Algorithms Group at the Lawrence Berkeley National Laboratory (LBNL). There she worked with the computer vision group to bridge the gap between traditional HPC and numerical methods and state-of-the-art AI models. She maintains an active research affiliation with LBNL as her work in modeling uncertainty in 3D geometry became the basis of a 3-year grant that supports continuing research in the area.

She received her Bachelor’s, Master’s, and PhD from UC Berkeley in Pure Mathematics, Nuclear Engineering, and Computational & Data Science, respectively. She was advised by Prof. Trevor Darrell, co-director of the Berkeley AI Research Lab, and Prof. Phil Collella from LBNL on research applying 3D computer vision to problems in computational physics. During her time in graduate school, Marissa, interned at 3D mapping startup Hivemapper, venture capital fund Prime Movers Lab, as well as Adobe Research. She co-founded the consumer, multimodal AI startup Prompt AI with her advisor and colleagues from BAIR and continues to support them as an advisor.

Marissa was born and raised in the Bay Area, living in around sixteen different places spanning from Morgan Hill to San Mateo before turning 18. She currently resides in Los Altos with her husband and daughter.