Our Team

Milton Gomez is a PhD Candidate in the Data-Driven Atmospheric and Water Dynamics group at the University of Lausanne. With a Masters in Environmental Fluid Mechanics as well as one in Mechanical Engineering, Milton is using his PhD to apply deep learning models for weather forecasting.

Frederick specializes in data-driven meteorology and machine learning for weather modeling. His research includes developing methods to discover physics from data and improving tropical cyclone prediction. Frederick previously studied dual-polarimetric signatures in nocturnal MCSs during his master’s at National Taiwan University and has chased tornadoes in the U.S. Great Plains. In his free time, he enjoys landscape photography, hiking, and traveling across Europe for opera.

Filippo Quarenghi is a PhD Candidate in the Data-Driven Atmospheric and Water Dynamics group at the University of Lausanne. Filippo has a background in physics from the University of Milano-Bicocca and developed expertise in machine learning through industry experience. He earned a master’s degree in climate physics from Utrecht University, completing a thesis on atmospheric modeling at ETH Zurich. Currently, his work focuses on machine learning-based downscaling to improve the generalizability of atmospheric models in complex terrains and for extreme weather events.