Applications of Deep Artificial Neural Networks in Brain Research

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This talk will delve into machine learning techniques and outcomes used to further understand the human brain. As many cognitive pathologies can be characterized by abnormalities in functional connectivity networks in the brain, deeper understanding of these networks may produce clinical diagnostic and therapeutic tools. We will discuss our application of deep artificial neural networks as a means to understand spatiotemporal features in functional networks in the brain.

Zach Harper is currently Data Scientist at Harley-Davidson Motor Company and Health Systems Administrator for the US Army Reserve. He has extensive experience in government, industry and academia. Skilled in management, machine learning, data analysis, computer security, and systems administration. He has a strong research background as a PhD Candidate in Biomedical and Health Informatics at the University of Wisconsin-Milwaukee. In his Army Reserve duties he leads a communication section to maintain function and compliance of communication, patient management systems and IT operations at a Combat Support Hospital. He has a broad technical skill set in R, Python and Matlab as well as AI and deep learning methods to support his research to differentiate abnormal from healthy brain connectivity in spatial and temporal domains.

5:15 - 6:30pm - Pizza & networking
6:30 - 7:00 - Presentation
7:00 - 8:00 - Networking

We are pleased to have this event sponsored by Northwestern Mutual Data Science Institute.

https://innovation.northwesternmutual.com/tech-advancement/northwestern-mutual-data-science-institute/

Location:

Northwestern Mutual Data Science Institute
Cream City Labs
733 North Van Buren St.
Milwaukee, WI 53202

** It is very important that all attendees RSVP with their first and last name as they appear on your legal id. You will be asked to provide your legal id to security to gain entry.

Space is limited; if your plans change, please update your RSVP to open up space for others; Registration will CLOSE September 12**