Felix Sosa

Felix Sosa is a computational cognitive scientist and AI engineer currently pursuing a PhD at Harvard and MIT.1 He has been working as a Graduate Researcher at the Massachusetts Institute of Technology since June 2019, focusing on developing theoretical and computational frameworks for artificially replicating the evolution and development of intelligence in machines.1

Sosa's research is conducted at the Center for Brains, Minds, and Machines under the advisement of Prof. Tomer Ullman, Prof. Sam Gershman, and Prof. Josh Tenenbaum.1 In addition to his graduate research, he has held several other positions:

1. Student Researcher at Google DeepMind (May 2023 - Present), working on code generation and tool use with large language models.1
2. Teaching Assistant at MIT for the course "6.86x Machine Learning With Python From Linear Models To Deep Learning" (February 2020 - May 2020).1
3. Research Scientist at IBM (June 2020 - September 2020), focusing on program synthesis and commonsense reasoning in machines at the MIT-IBM Watson AI Lab.1

Prior to his graduate studies, Sosa was a Research Assistant at the University of Central Florida's Evolutionary Complexity Lab, where he developed one of the first indirect encoding methods for evolving arbitrary neural networks at the scale found in deep learning.1 He has also been involved in various educational and entrepreneurial initiatives, including founding a student organization for synthetic biology and co-founding a neurotechnology startup called Cortex LLC.1