Summary
Margot Wagner is a postdoctoral researcher and machine learning scientist based in San Diego who combines multimodal deep learning, computational neuroscience, and clinical NLP to advance diagnostics and treatment tools for adolescent and adult mental health. With a PhD in Bioengineering and eight years of experience leading teams and projects, she has built scalable 3D-CNNs, spatiotemporal graph models, and transformer-based NLP pipelines applied to the large-scale ABCD study and psychotherapy transcripts, achieving clinically relevant performance. She has translated theory into practical tools—automating neuroimaging biomarker pipelines that processed thousands of subjects and creating a Markov graph model that reduced biophysical simulation runtime by 93%. A consultant at OPTT Health and project lead in Terry Sejnowski’s lab, she bridges academic rigor and product-focused development, routinely securing funding and publishing peer-reviewed work. Driven by a passion for usable, data-and-theory-driven medical tech, she’s seeking full-time roles in ML, data science, or AI for healthcare.
8 years of coding experience
5 years of employment as a software developer
University of California, San Diego
University of Oslo
Bachelor’s Degree, Chemical and Biomolecular Engineering, Bachelor’s Degree, Chemical and Biomolecular Engineering at University of Delaware
Bachelor of Engineering - BE, Chemical Engineering, Bachelor of Engineering - BE, Chemical Engineering at National University of Singapore
English, German