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Brian DePasquale is an Assistant Professor in the Department of Biomedical Engineering at Boston University. He holds additional affiliations with the Neuroscience & Neuroengineering program as a Primary & Affiliated Faculty member. His research bridges computational neuroscience and machine learning, focusing on understanding neural computations through mathematical modeling of biological systems.
Dr. DePasquale received his PhD from Columbia University followed by postdoctoral training at the Princeton Neuroscience Institute. His educational background has positioned him at the intersection of engineering, neuroscience, and computational methods, creating a unique approach to studying neural computation.
DePasquale's research employs two complementary approaches: a data-driven method involving collaboration with experimental neuroscientists to develop machine learning models of neural activity, particularly for decision-making and movement behaviors; and a theoretical approach constructing artificial neural network models to understand how structure gives rise to functional features in biological circuits. Recent projects include applying graph neural networks to olfaction research, developing the StateSpaceDynamics.jl package for neuroscience time series analysis, and creating methods for training biophysically detailed spiking neural networks.
His publication record reveals a consistent focus on neural dynamics across multiple scales, from single neuron properties to population-level computations underlying decision-making. The work spans theoretical models to practical applications, with growing emphasis on machine learning approaches to analyze complex neural datasets, particularly in understanding evidence accumulation processes and developing more biologically plausible artificial intelligence systems.
Among his professional recognitions, DePasquale was awarded the prestigious NSF Graduate Research Fellowship (NSF-GRF). His research is supported by grants enabling his lab to pursue innovative projects at the intersection of neuroscience and machine learning.
DePasquale leads the Artificial and Biological Intelligence Laboratory at Boston University, where his team develops open-source computational tools and fosters collaboration between computer scientists, neuroscientists, and engineers. The lab's emphasis on open science is exemplified by publicly available software implementations like StateSpaceDynamics.jl and full-FORCE demos on GitHub.
