My
work involves analyzing large-scale data (e.g. from web logs or set
top-box data). I have work in various projects related to ad quality,
that is how enjoyable or relevant ads are perceived by users / tv
viewers. At the moment, I am interested in questions like: How people
interact with YouTube? Can I predict popular videos using early data
about these videos, like the first 100 views? I
received a PhD in Applied Mathematics from Cornell University and a BS
in Mathematics from University of Havana. Following a postdoctoral
position at UC Berkeley and a postdoctoral fellowship at IPAM (UCLA), I
jointed Google. In the past I worked for YouTube and Google TV Ads as a quantitative analyst / data scientist. I currently work as a Quantitative Analyst for Google Plus.
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