Drs. Ajilore and Leow presented the latest work from the CoNECt lab at the 8th Annual Departmental Research forum, headlined by NIMH Director, Dr. Josh Gordon.
CoNECt lab members Olu Ajilore, Faraz Hussain, and Alex Leow along with collaborator Dr. Melvin McInnis were in attendance at the Alexa Diabetes Challenge Demo Day held at the Amazon AWS Pop-up Loft in Soho, NYC. It was a fun day of demonstrations and presentations in front of 250 audience members including press and executives from Amazon and Merck and Co. Luminary Labs did an incredible job running a well-produced challenge. The DiaBetty team is proud to be one of the finalists and we're eagerly awaiting annoucement of the winner!
Members of the CoNECt lab will be in NYC presenting DiaBetty at the Alexa Diabetes Challenge Demo at the Amazon Web Services Pop-Up loft. We're excited about our voice-enabled solution for helping patients manage diabetes in a mood-sensitive manner. Team members (from left to right): Alex Leow, Faraz Hussain, Olu Ajilore, Ben Gerber, Jun Ma. Melvin McInnis (not pictured).
The DiaBetty team will be attending the Alexa Diabetes Challenge Boot Camp in Seattle, WA sponsored by Merck & Co. and Amazon Web Services. The team will learn about living with type 2 diabetes and how voice technology can help those dealing with the disease. We're excited to take part in this exciting opportunity with the other four finalists of the challenge.
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CoNECt lab members John Zulueta, MD (PGY3 psychiatry resident) and Bokai Cao (Computer Science graduate student) will be presenting their work based on BiAffect. Bokai Cao will present CAN WE PREDICT BIPOLARITY WITH MOBILE PHONE KEYSTROKE DYNAMICS METADATA (poster #27 on Friday May 5th). Dr. Zulueta will be presenting PREDICTING MOOD DISTURBANCE SEVERITY IN BIPOLAR SUBJECTS WITH MOBILE PHONE KEYSTROKE DYNAMICS AND METADATA (poster #72 on Sunday, May 7th).
"Let's measure the speed of mind, peek inside a connectome, and figure out how you feel by looking at how you type"
NeuroCave is a connectome visualization tool that enables the user to perform explorations of the intrinsic geometry of the brain, by letting the user switch quickly different topological spaces where the connectome is embedded. With a simple and easy-to-use interface, users can explore all the connections with a edge-on-demand technique and focus on very specific area by switching on and off regions of the brain. Simple analytics such as nodal strength and shortest path trees can be computed on the fly. This tool has been developed with virtual reality in mind and it is compatible with the Oculus Rift and requires the Oculus Touch input.