Summary
Alexander Mathis is an Assistant Professor at EPFL with nine years of experience at the intersection of computational neuroscience, machine learning, and computer vision. Trained through a long postdoc at Harvard, he studies sensory-guided behavior—particularly olfactory processing and odor-guided navigation—combining quantitative behavioral measurement, adaptive motor control, and principled ML methods. His work blends rigorous experimental neuroscience with algorithmic modeling, enabling mechanistic insights that inform both biology and computer vision. Based in Lausanne, he maintains active collaborations across leading labs and brings a rare mix of hands-on lab science and computational expertise to problems of perception and navigation.
9 years of coding experience