Carlos Florensa

Carlos Florensa has a diverse work experience in research and intern roles. Carlos started their career as a Summer Fellow and Intern at ICFO, where they gained exposure to high-tech projects and developed skills in communication. Carlos then worked as a Summer Visitor at Argonne National Laboratory, applying Stochastic Programming methods to the Electrical Transmission Network. Carlos also worked as a Visiting Research Scholar at Carnegie Mellon University, focusing on solving Mixed Integer Bilevel Non-Linear Programs. Carlos further expanded their research experience as a Research Intern at DeepMind, where they contributed to self-supervised learning of image embedding for continuous control. Carlos then joined NVIDIA as a Research Intern, where they developed an algorithm called Guided Uncertainty-Aware Policy Optimization (GUAPO) for robotics applications. Currently, they are working at Covariant as a Research Scientist, utilizing their expertise in robotics and machine learning. Carlos completed their PhD at UC Berkeley, where they conducted research in a wide range of topics.

Carlos Florensa's education history includes:

- From 1992 to 1996, they attended Kindergarten in Berlin.

- From 1996 to 2000, they attended École Saint-Exupéry in Madrid.

- From 2000 to 2004, they attended Lycée Français Gustave Flaubert - Tunisie.

- From 2004 to 2006, they attended Lycée Français de Madrid for high school.

- From 2006 to 2010, they attended Lycée Français de Barcelone for high school.

- In 2010, they entered CFIS-UPC and pursued a double degree in Mathematics and Industrial Engineering.

- In 2011, they attended The University of Göttingen for the XLAB International Science Camp.

- In 2012, they participated in MBA summer school at IESE Business School.

- In 2013 and 2014, they studied at EPFL (École polytechnique fédérale de Lausanne) as part of the Erasmus program, focusing on Mathematics.

- From 2010 to 2015, they continued their studies at CFIS-UPC, completing a double degree in Mathematics and Industrial Engineering.

- From 2015 to 2019, they pursued a Doctor of Philosophy - PhD in Computer Science at the University of California, Berkeley, obtaining their degree in May 2020.

Additionally, Carlos Florensa obtained the following certifications:

- In January 2014, they obtained the "Becarios Fundación ‘la Caixa’" certification from Fundación ‘la Caixa’.

- In May 2020, they obtained a Doctor of Philosophy in Computer Science from the University of California, Berkeley.