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Citations: Google Scholar

I obtained a Ph.D. in Computer Science from the University of Maryland, College Park in 2011. My advisor was Prof. Lise Getoor, and I was a part of LINQS, a statistical relational learning research group. My dissertation is on prediction, evolution and privacy in social and affiliation networks. Currently, I am a data scientist at LivingSocial.

My research focuses on problems arising in social media analytics, especially at the intersection of machine learning, data mining and computational social sciences. The three main areas I study are 1) predictive models for complex networks, 2) user behavior models that explain social phenomena, 3) privacy issues in social media. For details, please see my list of publications.

Invited talks:

April 2013
Deal Personalization. Class on Data Mining for Business Intelligence, Wharton School of Business, UPenn

March 2013
Incentivized Sharing in Social Networks. Class on Networks, Crowds and Markets, Stern School of Business, NYU

February 2013
Analytics in a Personalized Online World: Complex Networks and Incentives. Smith School of Business, UMd

June 2012
A/B Testing, Personalization and Privacy. Digital Marketing Analytics Roundtable, DMAR

November 2011
Data Science Classroom: Naive Bayes and Logistic Regression. DC Data Science Meetup

February 2011
Prediction and Privacy in Social and Affiliation Networks. Tepper School of Business, CMU

November 2009
Privacy in Social Networks. Workshop on Security and Artificial Intelligence, AISec 2009

Professional Service - Program Committee Member:

European Conference on Machine Learning (ECML) 2013
AAAI Conference on Weblogs and Social Media (ICWSM) 2013
ACM Conference on Web Search and Data Mining (WSDM) 2013, 2014
ACM Conference on Knowledge Discovery and Data Mining (KDD) 2010
AAAI Conference on Artificial Intelligence (AAAI) 2010
ACM Conference on Information and Knowledge Management (CIKM) 2008, 2009
ACM Symposium on Applied Computing (SAC) 2010