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 (26)
jekyll7
meta-learning6
district6
feature-selection4
deep-learning3
python3
scikit3
scikit-learn3
language-model3
tensorflow3
gpt3
hyperparameter-tuning3
authentication3
chatgpt3
machine-learning3
Programming languages (6)
Github contributions (5)
quietscientist/gma_score_prediction_from_video
Oct 2024 - Mar 2025
Contributions:2 releases, 73 pushes, 1 branch in 5 months
dddiscovery/datapoints
Feb 2025 - Mar 2025
Contributions:79 pushes, 1 branch in 12 days
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