Melanie Segado
Penn AI Postdoctoral Researcher at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolMelanie Segado is a Penn AI postdoctoral researcher with 11 years of experience building multimodal AI/ML systems that combine vision, language, and physiological/time-series data to enable reliable, interpretable behavioral inference and diagnostics. At the Kording Lab she develops foundation-model approaches for movement in neuroscience and translates clinical expertise into scalable workflows for risk prediction and deployment. Her background includes real-time multisensor feedback and cognitive-state classification in VR from work at the National Research Council Canada and biomechanics-grounded representations from a visiting stint at Stanford. She co-founded NeuroTechX and has taught neuroethics and neuroscience-technology courses at McGill and guest-lectured at MIT, reflecting a strong commitment to community-building and education. Melanie’s work uniquely bridges practical device-level evaluation and high-level foundation models, emphasizing trustworthiness and tacit expert knowledge capture. Based in Philadelphia, she leverages a PhD in neuroscience and hands-on neurotechnology experience to push multimodal behavioral models toward real-world impact.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at McGill University
English, Spanish, French
Github Skills (17)
language-model8
jekyll8
meta-learning7
district6
gpt5
hyperparameter-tuning5
authentication5
chatgpt5
automl4
hyperparameter-optimization3
scikit-learn3
automated-machine-learning3
artificial-intelligence2
deep-neural-networks2
machine-learning1
Programming languages (7)
Github contributions (5)
KordingLab/Infant_movement_assessment
Feb 2024 - Feb 2026
Methods to automate movement-based assessments for infants using video analysis
Contributions:1 release, 2 PRs, 2 pushes in 1 year 11 months
quietscientist/score_prediction_from_video
Oct 2024 - May 2026
Contributions:3 releases, 77 pushes, 2 branches in 1 year 6 months
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