Kaleigh Clary MS/PhD Knowledge Discovery Laboratory College of Information & Computer Sciences University of Massachusetts Amherst

PhD candidate at the University of Massachusetts Amherst in the College of Information and Computer Sciences. I am a member of the Knowledge Discovery Laboratory, advised by David Jensen. My research interests include causal inference and experimental design, particularly for applications in computational social science involving a relational component or touching on the issue of fairness in machine learning. Feel free to check out my CV or send me mail at . Recent events: I was accepted as a Data Science for Social Good Fellow. This summer, I'll be working at the University of Chicago on a data science project with social impact. You can read an excerpt of my application in the UMass announcement. (April 2018) Our workshop paper A/B Testing in Networks with Adversarial Members (paper / code) was accepted at the 2017 Workshop on Mining and Learning with Graphs at KDD 2017. You can also check out the slides from my workshop talk or watch the video. (August 2017) Presented a poster, "Does Topology Matter? The Impact of Network Structure on Graph Cluster Randomization", at the 2016 Data Science Mixer hosted by the UMass Amherst Center for Data Science. I also gave a lightning talk. (October 2016) Participated in the 2015 Hack the Dinos challenge at the American Museum of Natural History, and featured in a New York Times article. Check out our project on GitHub! (November 2015) Mentored young girls age 12-15 in introductory programming using the Scratch language through the Girls, Inc. of Holyoke Eureka! program. (July 2015) Presented a poster on "Alternative approaches to discovering causality with additive noise models" at New England Machine Learning Day 2015. (May 2015)