Andrea Frome earned her Ph.D. in Computer Science at Berkeley in 2007 and has worked on a wide range of engineering and AI projects since, including face blurring in Street View, neural network research combining computer vision and language modeling, and projects ranging from data infrastructure engineering to computer vision-assisted processing of canvassing packets as part of the Hillary for America tech team. In the last year she’s been working as a consultant and contractor with a few companies, most recently with Twitter’s Health team on combating bots and trolls. In November she’ll be moving to Ghana for six months to join Google’s new Africa AI research lab.
Kate Rakelly is a PhD student at UC Berkeley, where she was co-advised by Sergey Levine and Alyosha Efros as part of BAIR (Berkeley Artificial Intelligence Research). She did her undergrad at UC Berkeley also, where she worked with Shiry Ginosar and Alyosha Efros in computer vision as well as Insoon Yang and Claire Tomlin in control.
Her research interests lie at the intersection of visual recognition and robotics, where she is interested in generalizable end-to-end models for perception and action. Previously, she has worked on a method for semantic segmentation in video using dyanmic convolutional neural network architectures as well as domain adaptation for segmentation and detection models.
Visit her website here: https://people.eecs.berkeley.edu/~rakelly/