Computer Science welcomes three new faculty members

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From the Chair, Prof. Jie (Jed) Wang:

I am delighted to welcome three new faculty members to join the department. They are Dr. Anne Mulhern (Lecturer), Dr. Anna Rumshisky (Assistant Professor), and Dr. Kate Saenko (Assistant Professor).
Dr. Mulhern will be primarily teaching lower-level undergraduate core courses.
Dr. Rumshisky is an expert in natural language processing and Dr. Saenko is an expert in computer vision. These two areas have many important applications and funding opportunities from federal funding agencies and industries.
All three bring much needed new talents to the department that will benefit our students and help increase our visibility.
Here is a brief introduction to our new faculty:

Dr. Mulhern received her doctorate from the University of Wisconsin-Madison in 2010. Her principal interests are logic and languages. She finds the Curry-Howard isomorphism, which describes a fundamental relationship between logics and programming language type-systems a fascinating subject.

She has been teaching various computer science topics since her first semester at the University of Wisconsin when she was one of a large squad of Teaching Assistants for the introductory programming class which had an enrollment of more than a thousand students. Pleasantly surprised to find herself both good at and interested in teaching she has continued to teach at regular intervals ever since.

Dr. Anna Rumshisky's primary area of research is natural language processing, with applications in clinical informatics, computational lexical semantics, and text processing for digital humanities and social science.

Her work focuses on the development of data-informed unsupervised learning methods as well as on leveraging existing resources and information-harvesting techniques.

Dr. Rumshisky received her Ph.D. in Computer Science from Brandeis University in 2009. She received postdoctoral training at MIT CSAIL. She has received undergraduate training at Moscow State University.

Dr. Kate Saenko received a BSc in Computer Science from the University of British Columbia, Canada in 2000 and a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2009.

Between 2009 and 2012 she was a postdoctoral researcher appointed jointly at UC Berkeley and Harvard.

Kate's interests are in developing machine learning methods for computer vision applications, including object recognition, transfer learning and adaptation, color models and joint semantics of images and language. 

Mulhern200b.jpg arum200.jpg saenko200.jpg
(L-R) Profs. Mulhern, Rumshisky, and Saenko.

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This page contains a single entry by Martin, Fred published on October 7, 2012 10:33 AM.

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