Ali Yousefi
Email
ayousefi@wpi.edu
Office
452 Unity Hall
Phone
+1 (508) 8315072
Education
Postdoctoral Training, Harvard Medical School, Departments of Neurosurgery and Psychiatry
Ph.D., Electrical and Computer Engineering, University of Southern California
M.Sc., Electrical and Computer Engineering, Sharif University of Technology
Announcement
I am excited to announce that I will be joining the University of Houston as an Associate Professor in the Biomedical Engineering department, starting on July 1, 2024.
I am looking for passionate students with a strong mathematical and analytical background to join my research group and conduct projects at the interface of neuroengineering, brain-computer interface, and neuroscience data analysis. If you are interested, please reach out to me at AliYousefiLab@gmail.com after June 30, 2024, for further details.

My research focuses on developing methodological solutions to problems concerning neuroscience data analysis. My research can be divided into two categories: first, a methodological element, focused on developing a statistical framework for linking neural activity to biological and behavioral signals as well as developing statistical estimation and inference algorithms, goodness-of-fit analyses, and mathematical theory that can be applied to different modalities of neural data; second, an application element, where these methods are applied to neural data recorded from neural systems to dynamically model the neural activity of individual neurons, to characterize how neural ensembles maintain representation of associated biological and behavioral signal, and to reproduce these signals in real time. In my research, I have worked to integrate methodologies related to model identification, statistical inference, signal processing, Bayesian analysis, and stochastic estimation and control, and to expand these methodologies incorporating neural analysis models, making them more appropriate for modeling the dynamics of neural systems observed through neural data such as local filed potential and spike train data.