Emanuele Silvio Gentile, Dr

I am a weather-focused quantitative analyst at an energy and commodity hedge fund, as well as an atmospheric physicist and weather and climate modeler with a background in theoretical physics. My work sits at the intersection of weather forecasting, AI-driven environmental analytics, and risk-sensitive decision systems for energy and commodity markets. I focus on the development, evaluation, and scaling of weather analytics and forecasting platforms, combining expertise in numerical weather prediction (NWP), AI-based forecasting systems, and statistical post-processing for applications in energy and commodity trading. In addition, I act as an interface between quantitative research, technology and data engineering, and trading teams, helping translate atmospheric processes and forecast uncertainty into actionable analytical frameworks and operational tools..

Alongside operational and applied forecasting work, I maintain a strong research background in km-scale climate modelling, boundary-layer turbulence, and extreme weather dynamics. My previous research combined high-resolution climate models, large-ensemble simulations, and higher-order turbulence representations to investigate how moist convection and sub-grid processes shape near-surface extremes and large-scale atmospheric circulation under climate change. More broadly, my work bridges physically interpretable atmospheric science with applications in energy, financial risk, and climate-risk analytics.

Before transitioning to a commodity-focused hedge fund as a weather-focused quantitative analyst, I worked as a Research Scientist at NCAS and University of Reading within the CANARI project, running very high resolution simulations to assess how climate change is altering heavy precipitation, inland flooding, and extreme winds across the UK and North Atlantic region. I also contributed to the Climate and Finance cluster, by bridging physical climate science, uncertainty quantification, and climate-risk assessment.

Previously, I worked for nearly three years at GFDL/NOAA and Princeton University as a Postdoctoral Research Associate, with Dr Ming Zhao and Dr Leo Donner, to unify the treatment of boundary-layer turbulence, moist convection, and clouds implementing the higher-order turbulence scheme Cloud Layers Unified By Binormals within the world-class GFDL atmospheric climate model AM4, in close collaboration with Prof Vince Larson, Dr Julio Bacmeister, Prof Gunilla Svensson, and Prof Colin Zarzycki.

I began my career with a First-Class Honours in Theoretical Physics from Imperial College London, where I was awarded the Tessella Prize for the innovative application of computational methods in physics. My PhD in Atmosphere, Ocean, and Climate at the University of Reading, under Prof. Suzanne Gray and Dr. Huw Lewis, examined turbulent air-sea fluxes and their influence on midlatitude cyclones’ extreme winds.

In my leisure time, I enjoy latin dances, playing volleyball and tennis, playing the piano in music ensembles, reading books, preparing delicious meals for my friends, and venturing into nature through hikes. Additionally, I love exploring new countries and their cultures, having recently backpacked in the Sahara.