How machine learning can improve decisions and automate manual processes in freight forwarding

Author's Biography

Ksenia Palke is the Director of the AI team at Airspace, where she joined in 2019. Prior to that, she had implemented various machine learning (ML) models and strategies at multiple companies in San Diego. Her main focus is to make ML and applied mathematics relevant and impactful for business. She had her start in the data science world while getting her PhD in geophysics from Stanford University. In 2021 she was recognised as a Woman of Influence in Technology by San Diego Business Journal.

Spence Lunderman is a Senior Applied Scientist on the AI team at Airspace. His work focuses on developing and governing machine learning (ML) and mathematical models to solve internal and customer-facing problems at Airspace. Prior to joining Airspace, Spence developed ML models at the U.S. Department of Energy’s National Renewable Energy Laboratory to aid in the development of new automotive biofuels. He also worked as a visiting researcher at NASA’s Jet Propulsion Lab developing numerical optimisation methods for Bayesian inverse problems (a common class of problem in weather forecasting).