Welcome to Abbasi Lab Webpage
We build interpretable machine learning tools in computational and clinical neuroscience to understand functions of brain and related disorders.
We are hiring!
We have openings for one or two postdocs to work with us at UCSF on some exciting applied problems at the intersection of machine learning and computational/clinical neuroscience. The projects involve predictive modeling, biomedical image and signal processing, interpretation inference, neural networks, visualization, etc. Background in imaging and neuroscience is not required but is a plus!
Contact Reza directly via Reza.AbbasiAsl@ucsf.edu to learn more!
News and Events
Feb 2020: Reza will give an invited talk at ITA 2020 on interpretation of neural networks with applications in comp neuroscience.
Jan 2020: We will be present at Cosyne 2020 with one invited talk and one accepted abstract on compressed interpretable models of neurons. Reza will give the invited talk at the workshop on “Scrutinizing models of brain function: from in-silico stimulus synthesis to direct brain perturbation”.
Jan 2020: Our paper titled “Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex” has been accepted at Neuron.
Jan 2020: Our paper titled “Superficial bound of the depth limit of 2-photon imaging in mouse brain” appeared on eNeuro.
Jan 2020: We are now affiliated with Bakar Computational Health Sciences Institute at UCSF! Reza will be a faculty affiliate at the institute.
Dec 2019: Welcome to the lab Neel!
Nov 2019: Welcome to the lab Ahyeon and Franklin!
Nov 2019: Reza joined the UC Berkeley-UCSF graduate program in bioengineering. We have multiple openings for rotation students!
Oct 2019: Our paper titled “Definitions, methods, and applications in interpretable machine learning” appeared on PNAS.
Oct 2019: Reza is presenting at SfN on functional imaging of excitatory neurons in an entire column in mouse visual cortex. Here is the abstract.
Sep 2019: Abbasi Lab officially started!