Daniel Hasegan

Data Scientist
Email
haseganobfuscate@stanford.edu

Daniel is a computational expert, coming from the tech industry and currently advancing computational methods of understanding the brain and its disorders in the Brain Dynamics Lab. Previously, he led AI initiatives at a Healthcare/Radiology Startup, Braid Health. Daniel started his career at Twitter, where he became a Staff Machine Learning Software Engineer, building ML infrastructure, data pipelines, and product improvements on trends, recommendations, and safety. He is thrilled about computational modeling of brain networks for advancing science and decreasing human suffering.

Papers

Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data (2023). BioRxiv

NeuroDesign - Greater than the Sum of Its Parts (2023). Springer