Sotabase

Career

· Co President, Stanford Students in Biodesign and Biopharma2025–
· Resident Assistant (RA) | Okada House, Stanford University2025–2026
· Undergraduate Student Researcher | Dror Lab, Stanford University2025–
· Bio-X Undergraduate Fellow, Stanford University2024–
· Founder and Co-President, Stanford Neurotech2023–
· Digital Health Committee Co-Chair, Stanford Students in Biodesign and Biopharma2023–2025
· Launchpad Division Team Head - Cardiology and Emergency Medicine, Stanford Students in Biodesign and Biopharma2023–
· Course Instructor, Stanford University2023–2024
· Masters Student in Computer Science, Stanford University2023–
· Undergraduate Student Researcher | Annes Lab (Medicine - Endocrinology), Stanford University School of Medicine2022–2024
· High School Diploma, Glenlyon Norfolk School2019–2022
· Master of Public Policy (MPP), Duke University
· Innovation Economist, RTI International
· Bachelor's degree, UNC Chapel Hill

Publications (62)

Designing Theory-Driven User-Centric Explainable AI
International Conference on Human Factors in Computing Systems · 2019
831
cited
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda
International Conference on Human Factors in Computing Systems · 2018
774
cited
Why and why not explanations improve the intelligibility of context-aware intelligent systems
International Conference on Human Factors in Computing Systems · 2009
637
cited
Assessing demand for intelligibility in context-aware applications
Ubiquitous Computing · 2009
259
cited
Toolkit to support intelligibility in context-aware applications
Ubiquitous Computing · 2010
187
cited
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
International Conference on Human Factors in Computing Systems · 2023
126
cited
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations
International Conference on Human Factors in Computing Systems · 2020
123
cited
Investigating intelligibility for uncertain context-aware applications
Ubiquitous Computing · 2011
117
cited
Exploiting Explanations for Model Inversion Attacks
IEEE International Conference on Computer Vision · 2021
107
cited
Where to locate wearable displays?: reaction time performance of visual alerts from tip to toe
International Conference on Human Factors in Computing Systems · 2009
105
cited
Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy
IEEE Transactions on Information Forensics and Security · 2020
103
cited
Differential Location Privacy for Sparse Mobile Crowdsensing
Industrial Conference on Data Mining · 2016
94
cited
TableChat
Proc. ACM Hum. Comput. Interact. · 2018
78
cited
RecGAN: recurrent generative adversarial networks for recommendation systems
ACM Conference on Recommender Systems · 2018
75
cited
Towards Relatable Explainable AI with the Perceptual Process
International Conference on Human Factors in Computing Systems · 2021
72
cited
Design of an intelligible mobile context-aware application
Mobile HCI · 2011
67
cited
Why these Explanations? Selecting Intelligibility Types for Explanation Goals
IUI Workshops · 2019
67
cited
Pediluma: motivating physical activity through contextual information and social influence
International Conference on Tangible, Embedded, and Embodied Interaction · 2010
55
cited
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation
International Conference on Human Factors in Computing Systems · 2021
49
cited
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors
IEEE Transactions on Mobile Computing · 2019
40
cited
Sotabase
Brian Lim | Researcher Profile | Sotabase | Sotabase