Lei Shi

Pronounced as 'lay shih'

ls776 at cornell.edu

View Up-to-date PDF Version (Updated: June 30th, 2017)


My research interests lie in the fields of accessibility, human computer interaction and design. Specifically, I am exploring how to design interactive models that can help blind people. 


Cornell University    2014-Present
Ph.D. in Information Science

Zhejiang University    2010-2014
B.Eng in Electrical Engineering 
B.Eng in Industrial Design

University of California, Davis    2013 
GREAT Summer Research Program


Lei Shi, Yuhang Zhao. and Shiri Azenkot. Markit and Talkit: A Low-Barrier Toolkit to Augment 3D Printed Models with Audio Annotations. UIST ’17. (Conditionally Accepted Full Paper)

Lei Shi, Yuhang Zhao. and Shiri Azenkot. Designing Interactions for 3D Printed Models with Blind People. ASSETS ’17. (Conditionally Accepted Full Paper)

Lei Shi, Ross McLachlan, Yuhang Zhao, Shiri Azenkot. Magic Touch: Interacting with 3D Printed Graphics. In Proceedings of the ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’16), 329-330.

Lei Shi, Idan Zelzer, Catherine Feng, Shiri Azenkot. Tickers and Talker: An Accessible Labeling Toolkit for 3D Printed Models. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’16), 4896-4907. [pdf] [demo]

Lei Shi. Talkabel: A Labeling Method for 3D Printed Models. In Proceedings of the ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’15), 361-362. *1st Place, Student Research Competition* [pdf] [acm]


IBM Research   2016.5-2016.8
Research Intern, Cognitive Environments and Cognitive Objects Group

Cornell University    2014.9-2015.9
Research Assistant, Teaching Assistant

Wenzhou Electric Power Design Co., Ltd    2013.9-2013.11
Electrical Engineer Intern


IBM Research

Converting Everyday Objects into Smart Controllers: We developed a novel technique that allows users to use passive everyday objects to control a smart environment. The technique was deployed at the Cognitive Environments Laboratory.

Cornell Tech

Always Accessible Input: We build novel interfaces that enable users to access and input information on the go. We use different sensors (e.g., EMG, IMU) and interaction techniques to connect users with up-to-date information.
Interactive Fabrication Tools: We use 3D printing to build education materials for blind students. We design and build tools that can make printed models more interactive and can explain themselves without specialized equipment.

University of California Davis, Research Intern

Innovative Traditional Chinese Medicine App: We develope an iOS App that allows users detect their health conditions by simply scanning their tongues and faces.


INFO 5305: Usability and User Experience Research, Cornell Tech    2016.8-2016.12
Teaching Assistant

INFO 6410: HCI and Design, Cornell Tech    2015.1-2015.5, 2016.1-2016.5
Teaching Assistant

Interactive Game Design Workshop, Zhejiang University    2013.3 / 2013.10
Lecturer, Basic Processing and Arduino Skills


First Place, Student Research Competition, ASSETS 2015
Aol Fellow, Connected Experiences Lab, Cornell Tech    2015
Conference Travel Grant, Graduate School, Cornell University    2015, 2016
Distinguish Graduation Thesis Awards    2014
Outstanding Student Leader Award (2%), Zhejiang University    2012
First-Class Scholarship for Outstanding Students (<3%), Zhejiang University    2011


Languages: Processing, Arduino, HTML, CSS, Python
Electronics: Arduino, Digital Signal Processor (DSP)
Design: Rhinoceros, Keyshot, Illustrator, Photoshop

Qualitative Methods: Interviewing, Participatory Design 
Quantitative Methods: Statistical Analysis, Hypothesis Testing
Design Methods: Profile and Scenario, Storyboard, Heuristic Evaluations

Native Proficiency: Mandarin, Wenzhounese
Full Professional Proficiency: English
Elementary Proficiency: Japanese