About me
Applied Scientist
Jesus Lago
I am an applied scientist at Amazon working on forecasting and ranking algorithms to predict the success of deals on the Amazon marketplace and rank them accordingly.
In addition to my job in forecasting research, I carry out research and I co-supervise a PhD student in the area of AI and the energy transition, another research topic that I am interested in.
I hold a PhD degree from TU Delft in that same topic, i.e. AI applied to the energy transition, and my PhD research on this domain has received several awards.
I am the developer of optidef, a Latex library for defining optimization problems, and of the epftoolbox python library, the first open-access library for driving research in electricity price forecasting.
Experience
Applied Scientist at Amazon working on forecasting and ranking algorithms.
Research scientist in AI techniques to facilitate the energy transition and the integration of renewable sources.
Research assistant in the area of optimization and optimal control. Teaching assistant in two M.Sc. courses.
Education
PhD in data science in the context of energy systems and energy markets with the end goal of advancing the energy transition through AI.
Masters degree in Microsystems engineering with a major in optimization and optimal control.
Five-year bachelor degree in Electronics, Automatic Control and Robotics
Awards
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IEEE-CIS technical challenge on energy prediction from smart meter dataThird-place award in the competition of the IEEE-CIS (Computational Intelligence Society) on prediction energy consumption from smart meters.
Competition | Award
November 2020
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Applied Energy Highly Cited Paper Award 2020