Summary
Francisco Pereira is a machine learning researcher and leader with 11 years of experience applying AI to scientific discovery in psychology, neuroscience, and psychiatry. As Director of the Machine Learning Core at NIMH he built and scaled an embedded ML team that now serves 40+ investigators across NIMH and NIDA, translating methodological advances into practical support and new analysis tools. Trained at Carnegie Mellon with interdisciplinary roots in cognitive neuroscience and psychology, he blends deep research expertise with hands-on engineering and program leadership from roles at Siemens and Princeton. He has a track record of securing and executing large, multi-institutional projects (including an IARPA program) and turning neuroimaging and connectivity data into interpretable diagnostic models and patents. Known for embedding ML within scientific workflows, he focuses on augmenting human decision-making rather than replacing it. Based in Washington, DC, he combines academic rigor with operational experience building cores that accelerate research impact.
11 years of coding experience
17 years of employment as a software developer
Complex Systems Summer School, Complex Systems Summer School at Santa Fe Institute
Ph.D. Computer Science and Neural Basis of Cognition, Ph.D. Computer Science and Neural Basis of Cognition at Carnegie Mellon University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Universidade do Porto
English, Portuguese, Spanish, French