Tianshi Li
Ph.D. candidate at CMU Human Computer Interaction Institute

I am currently on the job market! I am looking for tenure-track faculty positions and industry researcher positions in the U.S. If you know of any openings that I might be a good fit for, please feel free to contact me.
My research interests lie at the intersection of HCI, privacy, and software engineering. I strive to address the increasing privacy issues in software systems by making it easier for developers to recognize, mitigate, and communicate privacy risks in the systems they program. I apply a human-centered lens to study the challenges developers face with regard to privacy, and I design, build, and evaluate IDE plugins to tackle these challenges by breaking down privacy responsibilities into lightweight annotating tasks, making privacy-enhancing considerations and actions part of the normal development process. My work has been recognized with an ACM CHI best paper honorable mention award and supported in part by a CMU CyLab Presidential Fellowship.
News
Feb 20, 2023 | Excited to share my first funded grant from CMU CyLab, titled “Engaging End Users and Developers to Improve App Store Privacy Audits”! |
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Dec 16, 2022 | Just passed my dissertation defense. I’m a soon-to-be Ph.D. now! |
Oct 12, 2022 | Matcha is released on the JetBrains plugin store! |
May 1, 2022 | Our paper on C-PAK, a novel mobile text entry technique is accepted to TOCHI 2022. |
Apr 1, 2022 | Our CHI’22 paper “Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels.” won a best paper honorable mention award. |
Mar 1, 2022 | Proposed my Ph.D. dissertation “Privacy-Enhancing Development Environment” |
Feb 1, 2022 | Our paper on developers’ challenges about privacy regulation features in ad networks is accepted to PETS 2022. |
Jan 1, 2022 | I started serving on the CHI 2022 Late-Breaking Work (LBW) Program Committee. |
Nov 1, 2021 | Our paper on iOS developers’ challenges in creating the privacy label is accepted to CHI 2022. |
Nov 1, 2021 | Our paper on analyzing Stack Overflow answers to privacy questions is accepted to PETS 2022. |