Ph.D. 2013, University of California, Berkeley

Computational Neuroscience
Machine Learning
Computational Statistics

Alex Huth is currently a neuroscience postdoc in Dr. Jack Gallant's laboratory at UC Berkeley, where he does work in computational and experimental neuroscience using fMRI. His research is focused on how the many different areas in the human brain work together to perform complex tasks such as understanding natural language. He uses fMRI to measure brain responses while subjects do real-life tasks, such as listening to a story, and then uses those data to build computational models of how the brain functions. Alex was awarded a Burroughs Wellcome Career Award in 2016, which will support his research at UT. He will be joining the UT faculty in fall of 2017.

Alex earned his PhD in Dr. Jack Gallant's laboratory through the Helen Wills Neuroscience Institute at UC Berkeley. Before that, Alex earned both his bachelor's and master's degrees in computation and neural systems (CNS) at Caltech, where he worked with Dr. Christof Koch and Dr. Melissa Saenz.