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Make Data Work
Oct 15–17, 2014 • New York, NY

Hanna Wallach
Researcher & Professor, Microsoft Research NYC & University of Massachusetts Amherst

Website | @hannawallach

Hanna Wallach is a researcher at Microsoft Research in New York City
and an assistant professor at the University of Massachusetts
Amherst’s School of Computer Science, where she is one of five core
faculty members involved in UMass’s recently formed Computational
Social Science Initiative. Hanna develops new machine learning methods
for analyzing the structure, content, and dynamics of complex social
processes, such as the US political system, the US patent system, and
software development communities. Her research contributes to machine
learning, Bayesian statistics, and, in collaboration with social
scientists, to the nascent field of computational social science. Her
work on infinite belief networks won the best paper award at AISTATS
2010. Hanna has organized several workshops on Bayesian latent
variable modeling and computational social science. She also
co-founded the annual Women in Machine Learning Workshop. Hanna holds
a B.A. in Computer Science from the University of Cambridge, an
M.S. in Cognitive Science and Machine Learning from the University of
Edinburgh, and a Ph.D. in Physics from the University of Cambridge.


9:00am–5:00pm Wednesday, 10/15/2014
Hardcore Data Science
Location: 1 E14/1 E15
Ben Lorica (O'Reilly), Ted Dunning (MapR, now part of HPE), Tim Kraska (Brown University), Alice Zheng (Amazon), Anna Gilbert (University of Michigan), Jon Kleinberg (Cornell University), Kira Radinsky (eBay | Technion), Rob Fergus (New York University and Facebook), Ben Recht (University of California, Berkeley), Brian Whitman (Spotify), Hanna Wallach (Microsoft Research NYC & University of Massachusetts Amherst), Dafna Shahaf (The Hebrew University of Jerusalem)
Average rating: ****.
(4.27, 15 ratings)
All-Day: Strata's regular data science track has great talks with real world experience from leading edge speakers. But we didn't just stop there—we added the Hardcore Data Science day to give you a chance to go even deeper. The Hardcore day will add new techniques and technologies to your data science toolbox, shared by leading data science practitioners from startups, industry, consulting... Read more.
4:00pm–4:30pm Wednesday, 10/15/2014
Hardcore Data Science
Location: E14 / E15
Hanna Wallach (Microsoft Research NYC & University of Massachusetts Amherst)
Average rating: ***..
(3.60, 5 ratings)
In this talk, Hanna will give an introduction to statistical topic modeling, a state-of-the-art machine learning framework for analyzing massive document collections. Statistical topic models automatically infer groups of semantically related words (topics) from word co-occurrence patterns in documents without human intervention. Read more.