- About
- Courses
- Research
- Computational Social Science
- Critical Data Studies
- Data Science
- Economics and Information
- Education Technology
- Ethics, Law and Policy
- Human-Computer Interaction
- Human-Robot Interaction
- Incentives and Computation
- Infrastructure Studies
- Interface Design and Ubiquitous Computing
- Natural Language Processing
- Network Science
- Social Computing and Computer-supported Cooperative Work
- Technology and Equity
- People
- Career
- Undergraduate
- Info Sci Majors
- BA - Information Science (College of Arts & Sciences)
- BS - Information Science (CALS)
- BS - Information Science, Systems, and Technology
- MPS Early Credit Option
- Independent Research
- Student Associations
- Undergraduate Minor in Info Sci
- Our Students and Alumni
- Graduation Info
- Contact Us
- Info Sci Majors
- Masters
- PHD

Contact Information
Information Science
fvg3@cornell.edu
(607)-255-6711
François Guimbretière is a Professor in the Information Science Department at Cornell University. After completing an Electrical Engineering degree with a major in artificial intelligence at the Ecole Supérieure d’Electricité, in Gif-sur-Yvette, France, he went on to do MS and PhD degrees at Stanford in Computer Science. He came to Cornell in 2009.
The overarching goal of Dr. Guimbretière's research is to bring the ease of use of pen and paper interactions to computer interfaces. Pen and paper are an extremely versatile tool used extensively by knowledge workers when sketching new concepts, exploring a design space by quickly sketching several variations, brainstorming during a meeting, or simply proofreading documents. Pen and paper interactions are rapid, fluid, and almost transparent to the user. Unfortunately, work captured on paper is often difficult to transfer back into the digital world where powerful computational resources are accessible. Through my work, I have demonstrated that the ease of use of pen and paper interactions and access to digital resources can be smoothly bridged. Blending hardware prototypes, software implementations, and empirical evaluation, I have proposed novel pen interfaces for a wide variety of digital surfaces, including: large wall-sized displays such as the Stanford Interactive Mural; portable notepad-sized systems such as tablet PCs; and digital pens such as the Anoto system which can record and process strokes made on a special pre-printed paper. My work establishes a unified framework for pen computing applicable to mixed paper-digital settings as well as a wide variety of future digital interactive surfaces such as “digital wall paper” or electronic paper (e-paper), an area I have been exploring since I moved to Cornell. My work has been mostly supported by grants from the NSF (about $2.5M in total including a CAREER award), has been published in first tier ACM conferences and journals, and had a significant impact (my H-index is 19).