Biography
I’m interested in research and teaching at the intersection of data science, people, and Christian faith. My main projects are around AI for Everyday Creativity, including:
- Applying today’s large AI language models to help writers express their ideas in their own words
- AI for instructors to see what students are learning
- Helping everyone understand what AI can do, and accurately calibrating both our excitement and our concerns
Education
- B.S. in Electrical and Computer Engineering, Cornell University, 2007
- S.M. in Media Arts and Sciences, MIT Media Lab, 2010
- Ph.D. in Computer Science, Harvard University, 2020
Professional Experience
- Microsoft Research New England, Cambridge, MA
Research Internship Fall 2015 - Luminoso, Cambridge, MA
Co-founder, Researcher, Developer 2011 and Summer 2013 - MIT Media Lab, Cambridge, MA
Research Assistant August 2007–August 2011 - IBM, Austin, TX
Extreme Blue Intern Summer 2006 - NASA Goddard Space Flight Center, Greenbelt, MD
Nonlinear Signal Analysis Research Programmer Summer 2003 and 2004
Awards
Patents
- From my internship at Microsoft Research:
Patents Interactive context-based text completions. Kenneth C. Arnold, Kai-Wei Chang, Adam Tauman Kalai. (US20180101599A1, pending). - From my internship at IBM (all list inventors as: Jacob C. Albertson, Kenneth C. Arnold, Steven D. Goldman, Michael A. Paolini, Anthony J. Sessa):
- Controlling resource access based on user gesturing in a 3D captured image stream of the user. (US7971156 issued Jun, 28 2011).
- Informing a user of gestures made by others out of the user’s line of sight. (US7725547 issued May, 25 2010).
- Tracking a range of body movement based on 3D captured image streams of a user. (US7840031 issued Nov, 23 2010).
- Warning a vehicle operator of unsafe operation behavior based on a 3D captured image stream. (US7792328 issued Sep, 7 2010).
- Controlling a document based on user behavioral signals detected from a 3D captured image stream. (US7877706 issued Jan 25, 2011).
- Controlling a system based on user behavioral signals detected from a 3D captured image stream. (US7801332 issued Sep, 21 2010).
- Warning a user about adverse behaviors of others within an environment based on a 3D captured image stream. (US8269834 issued Sep 18, 2012).
- Adjusting a consumer experience based on a 3D captured image stream of a consumer response. (US8295542 issued Oct 23, 2012)
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