Teaching
9.014: Quantitative Methods and Computational Models in Neuroscience
This course provides students with the theoretical background and practical skills needed to analyze and model neurobiological observations at the molecular, systems and cognitive levels. Students will develop an intuitive understanding of mathematical tools and computational techniques, and learn to apply this knowledge to analyze, visualize and model research data using MATLAB programming. Topics include: Linear Systems and Operations, Dimensionality Reduction (e.g. PCA), Bayesian Approaches, Descriptive and Generative Models, Classification and Clustering, and Dynamical Systems.
Publications
A publications list can be found on the JazLab website.
Awards + Honors
2024 Howard Hughes Medical Institute Investigator
2019 Teaching Award, Department of Brain and Cognitive Science, MIT
2017 McKnight Scholars Award
2016 Graduate Teaching Award, School of Science, MIT
2016 Teaching Award, Department of Brain and Cognitive Science, MIT
2015 Klingenstein-Simons Fellowship Award
2015 Robert Swanson Career Development Professorship
2014 Sloan Research Fellow
2012 National Institute of Health Earl Stadtman Investigator (offer declined)
2007-2010 Helen Hay Whitney Foundation Postdoctoral Fellowship
2007 Dean’s Dissertation Award, New York University
Awarded for the most outstanding PhD dissertation in the university
2006 Travel Fellowship, European Conference on Visual Perception (ECVP)
2006 Travel Grant, New York University
2002-2006 Goldsmith Research Fellowship, New York University
Awarded annually to the best graduate student in the program
2001-2002 McCracken Fellowship, New York University
1999-2001 NSERC Scholarship, University of Toronto
1989 National Physics Olympiad Award, Ministry of Education, Iran