Location apps amass massive amounts of data. Understanding this data can take time. Uber’s Bradley Voytek shows the system they use to reduce customer wait times and increase service level.
Brad is an NIH-funded neuroscience researcher making use of big data, mapping, and mathematics to figure out cognition. His research has appeared in peer-reviewed scientific publications such as PNAS, Neuron, the Journal of Cognitive Neuroscience, and others. His research in cognition, brain-computer interfaces, and data analysis has been featured in The Washington Post, Wired, and The New York Times.
He earned his PhD in neuroscience from Berkeley in 2010 where he studied the role that neuroplasticity plays in human cognition. He applies this research to problems in cognitive neuroscience, recovery from brain injury, brain-computer interfacing, and other domains.
He’s interested in leveraging data to modernize cognitive neuroscientific research, the majority of which is conducted using techniques from 1960s psychological experimentation (only with bigger, more expensive toys). To that end he’s created several research tools, most notably the neuroscience literature meta-analytic resource brainSCANr.com with his wife, Jessica Bolger Voytek.
His public science writing has been featured in Forbes, The New Yorker, The Guardian, The Atlantic, Scientific American, as well as being featured on BoingBoing, Reddit, Metafilter, and MindHacks. His non-academic… uh… interests, include explaining the zombie brain with the Zombie Research Society. Really. He has been interview by National Geographic, Wired, and the American Academy of Neurology because of this “research”.
He’s an avid science teacher and outreach advocate and he’s spoken at events ranging from elementary schools to venues such as Ignite, TEDxBerkeley, @GoogleTalks, and SciFoo. He runs the blog Oscillatory Thoughts (http://blog.ketyov.com) and occasionally writes for the Scientific American blog.
In 2006 he split the Time Person of the Year award.
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