Passionate about data, algorithms, modeling and more recently about sensors. I have received a B.Sc. in Mathematics from the University of Havana, Cuba and a Ph.D. in Applied Mathematics from Cornell University. I worked at Google for five years as an applied scientist solving problems that involved the analysis and processing of very large data sets at Google TV Ads, YouTube and Google+. A main theme in my work is mining footprints left by users in their interaction with technology such as TV, the web, and social networking sites in order to identify patterns that can be used to improve products. Currently, I lead the development of machine learning algorithms at Akualab Inc. I also teach Machine Learning and Data Analysis courses as an Adjunct Professor in the M.S. in Analytics at the University of San Francisco. |
