Ryan Keisler

Ryan Keisler is a highly accomplished professional with a strong background in physics, data analysis, and machine learning.

With a Doctor of Philosophy (PhD) in Physics from The University of Chicago and Bachelor's degrees in Physics and Plan II from The University of Texas at Austin, Ryan's academic foundation is robust and diverse.

Ryan's career includes prestigious roles such as Chief Scientist, Head of Applied Science, and Head of Machine Learning at Descartes Labs, where he applies his expertise in physics and data analysis.

Prior to his time at Descartes Labs, Ryan excelled as a cosmologist at renowned institutions like the University of Chicago and Stanford University, contributing significantly to the field of cosmology and scientific research.

His experience as a Kavli Fellow at Stanford University and a NASA Hubble Fellow at The University of Chicago further solidifies his expertise in complex scientific research and data analysis.

Ryan Keisler's journey showcases his dedication to pushing the boundaries of physics and machine learning, making him a valuable asset in the field of data science and scientific research.