Melanie Segado

Melanie Segado is a postdoctoral fellow in Bioengineering advised by Konrad Kording at University of Pennsylvania. Her research is currently focused on building computational models of complex human movement using data-driven artificial intelligence approaches. Specifically, she is developing foundation movement models that can be fine-tuned for specialized applications in human health and performance, including low-cost video-based diagnostics for infant movement disorders. She holds a PhD in Neuroscience from McGill University where she studied sensorimotor integration during skilled motor execution. Following her PhD she worked as a research scientist  at the National Research Council Canada, integrating neural interfaces into custom-developed virtual reality environments.