Ryan Keisler

Ryan Keisler is a physicist who has worked at the intersection of sensor data and data science for over 15 years. He currently serves as a Staff Data Scientist at KoBold Metals, where he applies his background in physics and data science to search for new deposits of battery metals.13

Key aspects of Ryan Keisler's background and career include:

Education and Early Career

• Ph.D. in Physics from the University of Chicago
• Degrees in Physics and the Plan II honors program from the University of Texas at Austin
• Worked in observational cosmology at the University of Chicago and Stanford University
• Focused on cosmic microwave background research, particularly with the South Pole Telescope project in Antarctica3

Professional Experience

• Chief Scientist at Descartes Labs

  • Led a team of geospatial data scientists
  • Blended physical and statistical modeling to provide solutions for various clients3

• Staff Data Scientist at KoBold Metals (current position)

  • Uses his background in physics and data science to search for new deposits of battery metals1

Research and Interests

Ryan Keisler has shown interest in applying deep learning approaches to complex physical dynamics, particularly in the field of weather forecasting. In 2022, during a sabbatical, he published a preprint describing a simple model with considerable skill in 6-day weather forecasts.2 His work demonstrates the potential of using machine learning techniques in fields traditionally dominated by physics-based models.

Expertise

• Physics
• Data Science
• Geospatial Analysis
• Machine Learning
• Weather Forecasting
• Observational Cosmology

Ryan Keisler's diverse background, spanning from cosmology to Earth observation and now to mineral exploration, showcases his adaptability and expertise in applying data science and physics principles to various complex problems.