Home Department: Neurosciences
Faculty Advisor: Amit Etkin
Talk Titles: Novel Brain Techniques to Optimize Plasticity Induction in Humans and Enhancing Scientific Rigor and Reproducibility: Are We Doing Better?
Event: 2018 Winter Conference on Brain Research

With a primary focus on high-dimensional data, Dr. Mohammad Shahrokh Esfahani has significant expertise in developing machine learning tools. Much of his work involves constructing Bayesian models, which effectively convert 'prior knowledge', either inherent in the dataset or obtained from external sources, into mathematical terms—more specifically, prior probabilities.

Home Department: Engineering
Mentor: Tamar Green (Psychiatry & Behavioral Sciences - Interdisciplinary Brain Sciences)