Aditi Muralidharan

Education

UC Berkeley
2008 - (2013)
Ph.D.
Ph.D. in Computer Science, concentrating in Artificial Intelligence and Human-Computer Interaction,
Ph.D. Advisor: Marti Hearst.
Areas of focus: user interface design and development, natural language processing, visualization, search user interfaces, information retrieval
MIT
2004 - 2008
B.S.
B.S. Physics, B.S. Electrical Engineering and Computer Science,
Undergraduate GPA 4.9

Employment

Google, Inc.
(Summer 2012)
Researched, designed, and developed tools for exploring personal data.
Google, Inc.
Summer 2011
Conducted research on social search investigating how people use information from their social networks during web search. Helped influence concrete changes in the presentation and content of social annotations. Research findings to appear at CHI 2012.
Fuji Xerox Palo Alto Labs
Summer 2010
Designed and implemented a sentiment analysis pipeline for
  • Extracting features of products from customer reviews
  • Extracting and quantifying customer opinions of product features.
Developed a user interface to allow customers to compare product attributes and customer opinions.
DiG: A Task-based Approach to Product Search published at IUI.

Research

2010 -
Visual interfaces for analyzing text
A text analysis system to explore and analyze literature in collaboration with the English department at UC Berkeley. Supported by NEH Digital Humanities Grants HD-51244-11 and HK-50011.
2010 -
Exploring linked data
Ways to explore the New York Times linked open dataset (data.nytimes.com, developer.nytimes.com),
for which I have built a visual explorer prototype.
2009 - 2010
Word sense disambiguation
I applied graph smoothing algorithms to the problem of calculating the semantic similarity between words, but my method did not produce improvement when applied to the problem of word sense disambiguation.
Summer 2009
Faceted browsing
Integrating word sense disambiguation into an algorithm for generating faceted hierarchical browsing interfaces. No tangible improvements were produced. Demos of automatically generated browsing interfaces are at flamenco.berkeley.edu.

Publications

HCIR 2012 Finding Literary Themes with Relevance Feedback
Aditi Muralidharan, Marti A. Hearst
PDF
Literary and Linguistic Computing
December 2012
Supporting Exploratory Text Analysis in Literature Study
Aditi Muralidharan, Marti A. Hearst
PDF
CHI 2012 Social Annotations in Web Search.
Aditi Muralidharan, Zoltan Gyongyi, Ed H. Chi
PDF
HCIR 2011 WordSeer: Exploring Language Use in Literary Text
Aditi Muralidharan, Marti A. Hearst
PDF
2011 Conference on Intelligent User Interfaces DiG: A task-based approach to product search.
Scott Carter, Francine Chen, Aditi Muralidharan, Jeremy Pickens
PDF
2011 Conference on Digital Humanities A Visual Interface for Exploring Language Use in Slave Narratives
Aditi Muralidharan
PDF, Poster

Talks and Demos

MLA 2012
January 2012
Using Digital Tools to Explore Narrative Conventions in the North American Antebellum Slave Narratives
Slides
Maryland Institute for Technology in the Humanities
September 2011
Digital Dialogue
Text Analysis for the Humanities: Methods and Challenges
Podcast and Slides at umd.edu
BigThink Future of Search
February 2011
WordSeer: An Interface for Exploring Language Use in Slave Narratives
Video
THATCamp (Bay Area)
October 2010
BootCamp on Text Mining (link).
Slides: PPT, PDF
Visual Interpretations Conference
May 2010
MIT Hyperstudio
Demo: "The New York Times Visual Explorer" (link)
THATCamp (Great Lakes)
March 2010
Session: Text mining and the digital humanities (link)

Teaching Experience

CS 61A: Structure and Interpretation of Computer Programs
UC Berkeley
Co-Lecturer, Course Developer
Fall 2011
Graduate Student Instructor
Spring 2011
CS 188: Introduction to Artificial Intelligence
UC Berkeley
Graduate Student Instructor
Fall 2009
CS 3: Introduction to Symbolic Programming.
UC Berkeley
Graduate Student Instructor
Fall 2010
Spring 2010
Spring 2009
Physics 8.02 Electromagnetism
MIT
Undergraduate Teaching Assistant
Spring 2008
Spring 2007