Summary
Andrea Navas-olive is a physicist-turned-computational neuroscientist with 9 years of research experience, currently a postdoctoral researcher at IST Austria after completing a PhD focused on computational models of hippocampal microcircuits. She combines biophysically realistic modeling of CA1 pyramidal cells with machine learning to decode and manipulate electrophysiological events related to memory encoding and replay, aiming to translate hierarchical brain rhythms into new ML paradigms for biomedical research. Her background spans physics, computer science, and intensive international training (Tokyo, Cambridge, EITN), and she has taught software design and computational neuroscience, bridging theory and practical coding. Based in Vienna, Andrea uniquely blends closed-loop experimental ambitions with rigorous simulation work, positioning her to drive novel neuro-inspired algorithms informed by in vivo electrophysiology.
8 years of coding experience
Doctor of Science, Computational Neuroscience, Doctor of Science, Computational Neuroscience at Universidad Autónoma de Madrid
Summer School, Physics, Summer School, Physics at Summer University of Jyväskylä
SSCND9 Summer School, Computational Neuroscience, SSCND9 Summer School, Computational Neuroscience at University of Ottawa
University of Tokyo
EITN Spring School, Theoretical Neuroscience, EITN Spring School, Theoretical Neuroscience at European Institute of Theoretical Neuroscience
English, Spanish, German