Education
PhD in Neuroscience at the University of Pennsylvania
Subjects
Computational Neuroscience, Neuroethology, Machine Learning, Computer Vision, Behavioral Neuroscience
Achievements
PhD candidate in Neuroscience at the University of Pennsylvania; BS in Neuroscience from the University of Miami; author on multiple peer-reviewed publications across social neuroscience, movement science, and AI methods; recipient of the NeurIPS Travel Award, NRSA T32 NIDCD-NIH training grant, Generation Google Scholarship, University of Pennsylvania Jameson-Hurvich Travel Award, and Ford Foundation Predoctoral Fellowship honorable mention; applied industry experience in generative AI evaluation tooling at Google
About
Felipe is a PhD candidate in neuroscience at the University of Pennsylvania working at the intersection of computational neuroethology, machine learning, and behavior. His research develops multimodal pipelines that integrate wireless neural recordings, computer vision, and deep learning to study social interactions in primates, using AI-driven approaches to uncover principles of perception, communication, and brain function in naturalistic settings. Alongside his academic research, he has extensive mentoring experience, having supported high school, undergraduate, and early-career researchers through tutoring, research supervision, and skills training in programming, data analysis, modeling, and scientific writing
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