As the co-founder of Touch Medical Intelligence, Josh Albert is dedicated to improving long-term health through the use of cutting-edge artificial intelligence technology. With a strong background in interdisciplinary research, including expertise in mathematics, physics, biology, and computation, Josh brings a unique blend of skills to his work in the field.
During his PhD in astronomy, Josh applied his expertise in Bayesian methods to study a range of topics including galactic dynamics, the cosmic web, and Earth's ionosphere. He is also the author of the highly-regarded open-source Bayesian programming package, JAXNS, which has gained widespread recognition for its commitment to high-integrity open science.
In addition to his work with Touch Medical Intelligence, Josh is also involved in several collaborations, bringing his innovative thinking and diverse expertise to bear on some of the biggest questions in astronomy & astrophysics.
Follow Josh on Twitter at @RealJoshAlbert to stay updated on his latest projects and insights.