A brief overview of the Python programming language, with an emphasis on tools relevant to data scientists. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

This tutorial illustrates several ways to approach predictive modeling and machine learning with MATLAB.

Introductory presentation on how data science can help with scientific reproducibility.

A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.

This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases

How genetics can contribute to our understanding of psychiatric phenotypes.