Jeffrey P. Bigham Email & Phone Number

Pittsburgh, Pa, Us

Cupertino, California, Us

Lead an applied research group at the intersection of Human-Computer Interaction and Machine Learning -- we deliver products, research and innovation in accessibility, information visualization, UI toolkits, developer tools, Responsible AI, and ML & design.

Pittsburgh, Pa, Us

Associate Professor (with tenure) at the Human-Computer Interaction Institute and Language Technologies Institute in the School of Computer Science.

Pittsburgh, Pennsylvania, Us

Barcelona, Barcelona, Es

Advisory board member of Change Dyslexia, a CMU spin-out company that creates technologies combining games and machine learning for earlier detection and support for children with dyslexia.

Mountain View, Ca, Us

Worked at Google[x] designing and building crowd-AI systems.

Created and developed initial prototype of what became sitecues.com. Conducted research, design, and development work on how to leverage the unique capabilities of the web platform to deliver more usable magnification for web sites.

Rochester, Ny, Us

Assistant Professor in the Department of Computer Science, started the ROC HCI group.

Redmond, Washington, Us

Explored social incentives in social question answering and commenting. Worked toward developing a utility model to explain why people choose to respond to questions and status updates on social media.

Cambridge, Ma, Us

Worked in the User Interface Design group at CSAIL.

Seattle, Wa, Us

Research and Teaching Assistant. WebInSight Project. Worked with Richard E. Ladner.

Palo Alto, Ca, Us

Worked with a team to improve the WebAnywhere web-based screen-reading web application. Put the initial release of WebAnywhere through formal quality assurance, adapted WebAnywhere for site-specific release, and made it easier for other developers to join the project.

Research intern in the USER group at IBM Almaden, surpervised by Tessa Lau. Created TrailBlazer, a non-visual, programming-by-demonstration system that makes web tasks easier to complete with a screen reader by enabling users to record, playback and share scripts describing web tasks. Developed a novel, machine-learning technique that uses a user’s history and a short task description to suggest a next step even when no script for the desired task exists.

Mountain View, Ca, Us

Worked with Marius Pasca. Tackled substantial quantitative and qualitative problems with the goal of automatically generating a million correct relational facts from unstructured web text starting with ten seed facts. Made improvements to both the scoring metrics used to evaluate facts and to the extraction mechanism used to extract facts. Adapted the extraction system to use the Map-Reduce paradigm so it could scale linearly and extract over a million facts.

Dallas, Tx, Us

Tasked with improving the automatic classification and routing of email based on subject. Discovered that the categories currently in use overlapped and were often confused even by human representatives. Developed tools to identify problems in a supplied categorical hierarchy, suggest improved categories through iterative hierarchy improvement, and produce informative visualizations that illustrate confusion in a hierarchy.

Redmond, Washington, Us

Developed an application designed to automatically generate test cases for the Interop area of the .NET Common Language Runtime. Using my program, logical representations of test cases were generated and executed in order to automatically test the entire Interop space.

Technical support services for a small Internet Service Provider. Duties included answering customer phone calls, fixing customer computers, and assisting with other business needs, e.g., billing, web app development. We were scrappy.

Ph.D., Computer Science And Engineering

B.S.E, Computer Science