Amy Pavel

Amy Pavel headshot

Email amypavel@berkeley.edu

Office SDH 415

Twitter @amypavel

Publications Google Scholar

Curriculum Vitae PDF

Research Group
Ph.D. Students: Mina Huh, Karim Benharrak, Ananya Gubbi Mohanbabu, Meng Chen, Yi-Hao Peng (co-advised with Jeffrey P. Bigham)
Masters and Undergraduates: Aadit Barua, Akhil Iyer, Katie Clark, Sumaya Al-Bedaiwi, Ujjaini Das, Jerry He, Sarah Zheng
Recent Alumni: Doeun Lee, Pranav Venkatesh, Tess Van Daele, Yuning Zhang, Daniel Killough, Jalyn Derry, Aochen Jiao, Soumili Kole, Chitrank Gupta

I am an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley and a Visiting Faculty Resesarcher at Google Research. Before joining UC Berkeley, I spent three wonderful years (Spring 2022-Spring 2025) as an Assistant Professor in the Department of Computer Science at the University of Texas at Austin.

I was previously a postdoc at Carnegie Mellon University, a Research Scientist at Apple, and I received my PhD from UC Berkeley EECS. I regularly teach a Computer Science class that covers the design and development of user interfaces (Introduction to Human-Computer Interaction). Prior versions include CS160 at UC Berkeley in 2018 and CS378 at UT Austin in 2022.

Current UC Berkeley Students: I am actively recruiting UC Berkeley students for research positions in my lab! Check out this document (CalNet ) to learn more and apply.


Prospective Students, Visitors, Interns, and Postdocs: I recruit PhD students every year. Please apply directly to the UC Berkeley EECS PhD program and list me as a potential advisor. For other questions or positions, please read these FAQs before reaching out.

Research Highlights

GenAssist

UIST 2023 – Best Paper Award

PDF | Project Page

CrossA11y

UIST 2022 – Best Paper Award

PDF | Project Page | Video

Rescribe

UIST 2020

PDF | Video | Talk

Long-Form VQA

COLM 2024 – Oral Spotlight

Project Page

Research Summary

As a systems researcher in Human-Computer Interaction and Accessibility, I embed machine learning technologies (e.g., Natural Language Processing) into new human interactions that I then deploy to test. Using my systems, remote content creators more effectively collaborate, video authors efficiently create accessible descriptions for blind users, and instructors help students to learn and retain key points. To inform future systems that capture what is important to domain experts and people with disabilities, I also conduct and collaborate on in-depth qualitative (e.g., AAC communication, memes) and quantitative studies (e.g., 360° Video, VR Saliency). My research goal is to make communication effective and accessible.

Research Papers

Morae: Proactively Pausing UI Agents for User Choices

To Appear at UIST 2025

Design Considerations for Photosensitivity Warnings in Visual Media

ASSETS 2024

DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation

Yi-Hao Peng, Faria Huq, Yue Jiang, Jason Wu, Amanda Xin Yue Li, Jeffrey P. Bigham, Amy Pavel

ECCV 2024

Thesis and Technical Reports

Amy Pavel

PhD in Computer Science, University of California, Berkeley

Advisors: Bjoern Hartmann and Maneesh Agrawala

Additional committee members: Eric Paulos, Abigail De Kosnik

Posters, Demos, and Workshops

Simultaneously Generating Multiple Mediums of Tactile Graphics

Katie Clark, Amy Pavel

ASSETS 2025 Posters and Demos

TaskArtisan: Flexible Authoring and Manipulation of Task-specific Interactive Widgets via Sketch and Voice

Meng Chen, Amy Pavel

UIST 2025 Posters

Work

Assistant ProfessorUniversity of California, Berkeley

Department of Electrical Engineering and Computer Sciences

July 2025

Affiliate Assistant ProfessorUniversity of Texas at Austin

Department of Computer Science

July 2025

Visiting Faculty ResearcherGoogle

Google Research

Remote, 20% appointment

October 2024December 2025

Assistant ProfessorUniversity of Texas at Austin

Department of Computer Science

January 2022June 2025

Research Scientist (50% time)Apple Inc

AI/ML

Machine Intelligence Accessibility Group

July 2019January 2022

Postdoctoral Fellow (50% time)Carnegie Mellon University

HCII

Supervised by Professor Jeffrey P. Bigham

January 2019October 2021

Graduate ResearcherUniversity of California, Berkeley

Visual Computing Lab

Advised by Professors Björn Hartmann and Maneesh Agrawala

September 2013January 2019

Research InternAdobe

Creative Technologies Lab

Advised by Principal Scientist Dan Goldman

Summer 2014, Summer 2015

Undergraduate ResearcherUniversity of California, Berkeley

BiD Lab, Visual Computing Lab

Advised by Professors Björn Hartmann and Maneesh Agrawala

June 2011September 2013

Teaching

InstructorUT Austin

CS 378: Introduction to Human-Computer Interaction

Spring 2025

InstructorUT Austin

CS 395T: Human-Computer Interaction Research

Fall 2024

InstructorUT Austin

CS 378: Introduction to Human-Computer Interaction

Spring 2024

InstructorUT Austin

CS 395T: Human-Computer Interaction Research

Fall 2023

InstructorUT Austin

CS 378: Introduction to Human-Computer Interaction

Spring 2023

InstructorUT Austin

CS 378: Introduction to Human-Computer Interaction

Spring 2022

InstructorUC Berkeley

CS 160: User interface design and development

Summer 2018

Graduate student instructorUC Berkeley

CS 160: User interface design and development

Summer 2017

Student project advisorUC Berkeley

NWMEDIA 190: Making Sense of Cultural Data

Fall 2017

InstructorUC Berkeley

CS Kickstart, intro CS for incoming freshmen women

Summer 2012

TeacherUC Berkeley

Berkeley Engineers and Mentors

2009 - 2010