Jenn Wortman Vaughan

Welcome!

I am a Researcher at Microsoft Research, New York City and an Assistant Professor (currently on leave) in the Computer Science Department at UCLA.

My research interests are in algorithmic economics, market design, machine learning, and social computing. I study these areas using a mix of techniques from theoretical computer science, optimization, probability theory, and beyond. This research is partially supported by an NSF CAREER award and the Symantec Term Chair. For a more complete picture of my research, take a look at some of my publications.

I am not teaching any classes at UCLA this year, and I am not taking on any new students or postdocs. I will not respond to email inquiring about positions in my research group at UCLA.

What's New?

This winter I am working on an exciting new project.

I recently co-organized the 6th annual New York Computer Science and Economics (NYCE) Day, which was held on November 1.

I also co-organized a workshop on Crowdsourcing: Theory, Algorithms, and Applications which was held at NIPS in December. Videos will be available online.

Jake Abernethy and I gave a tutorial on Prediction, Belief, and Markets at AAAI in Bellevue, Washington. Previous versions were presented at ICML, KDD, and the Machine Learning Summer School at UC Santa Cruz.

I am excited to be a recipient of the Presidential Early Career Award for Scientists and Engineers! You can read about it in the White House press release or on the White House blog.

Hanna Wallach, Winter Mason, and I are guest editing a special issue of Machine Learning Journal on Computational Social Science and Social Computing. The submission deadline has now passed.

More activities..

Background

Prior to arriving at UCLA I spent a year as a Computing Innovation Fellow at Harvard University where I was a member of the EconCS group and the Theory group, and an affiliate of the Center for Research on Computation and Society.

I received my Ph.D. in Computer and Information Science from the University of Pennsylvania in 2009. I was extremely lucky to be advised by Michael Kearns. My doctoral dissertation, Learning from Collective Preferences, Behavior, and Beliefs, introduced a series of new learning models and algorithms designed to address the problems commonly faced when aggregating local information across large population, and was awarded Penn's Rubinoff award for innovative applications of computer technology. During my time at Penn, I spent two fun summers interning in New York, first with the Machine Learning and Microeconomics groups at Yahoo! Research and then in the research group at Google.

Before coming to Penn, I completed a Masters in Computer Science at Stanford where I got my first taste of research working with the Multiagent Group. Further back in the day, I was a carefree undergrad at BU.

You might remember me as Jenn Wortman. When I got married, I took Vaughan (pronounced "von") as my "official" last name and moved Wortman to my middle name. I use both names professionally, and will answer to either.

Get In Touch

The best way to reach me is by email. I am jenn at both cs.ucla.edu and microsoft.com.