VariAbility logo created by neurodivergent artist Josh Quicksall

Welcome to the VariAbility Lab at Carnegie Mellon University. Our research mission is to create inclusive workplaces where all people can be successful, without discrimination, especially those with disabilities and the neurodivergent.

Our current research projects focus on creating accommodative physical work environments, collaboration tools that facilitate communication between people with differing abilities, and educational programs that teach communication skills and improve social relationships between team members.

We are recruiting students (Masters and Undergraduates) for Spring 2027. If you are interested in working on any of our projects, please get in touch! Include your CV and a brief description of some research you'd like to do.

News

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Research

Neurodiverse Support Needs in Human-AI Software Engineering Teams

We aim to identify design guidelines for assistive programming environments that align with software developers’ attitudes, behaviors, and desires toward the content, tone, and timing of technical, social, and emotional support from humans and agentic AI programming assistance. Programming is a technical, social, and emotional activity that affects learning, productivity, confidence, collaboration, and well-being for novice and professional software developers. Developers often need support for information seeking, unfamiliar codebases, debugging, code review, asking for help, communicating with teammates, planning work sessions, and managing frustration or uncertainty. Human support from mentors, peers, instructors, managers, and reviewers can be valuable, but it may also involve delays, social risk, unclear expectations, or concern about being judged. AI programming assistants may offer immediate support, but their usefulness depends on whether the support has appropriate content, tone, timing, privacy considerations, and escalation pathways to people. Understanding these preferences can inform assistive programming environments that support learning, productivity, collaboration, and wellbeing without replacing human support or pressuring users to accept unwanted assistance.

Access Profiles for Access Needs

Coming Soon!

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Neurodiversity @ Work

Our mission is to support the preparation, recruitment, persistence, advancement, and management of neurodivergent individuals in the workplace. We will mentor and support neurodivergent students to succeed in their educational goals in high school, college, and beyond. In addition, we focus on creating educational pedagogy to teach neurotypical coworkers how to work best with their neurodivergent colleagues.

We run the Neurodiversity at Work Research Conference series, which was first held in 2018, 2019, 2021, 2022, 2023, 2024, 2025, and 2026.

The 9th Annual Neurodiversity at Work Research Conference will be held in College Park, MD on June 21-23, 2027. If you are a neurodivergent junior researcher, please apply to come to our pre-conference workshop!

Andrew Begel and Karen Krainz Edison founded the Southern Great Lakes Region Neurodiversity at Work Hub.

Andrew Begel and Amy Tavares founded The Business Value of Neurodiversity Forum, with its first edition, Innovating Pittsburgh, held at CMU on March 4, 2026. The next edition will be held at CMU on March 11, 2027.

Patchworks

We are exploring how developers use, understand, and make decisions about patches during debugging tasks to help developers fix bugs, fast. Though tools that automatically fix programs are becoming more effective, they are unable to fix many types of bugs and have the potential to create patches which may look correct, but aren’t. As a result, humans are essential to the debugging task and they must review and edit patches created by tools before applying them. Successful strategies people use when debugging with patches remain less studied, and decisions about patch correctness can be difficult. With an understanding of developers’ strategies when using machine-made patches, we will be able to more effectively build usable repair tools and intervene when debugging goes wrong.

Knitted Stim Objects

We are exploring autistic stimming and the material experiences of autistic adults. We design and fabricate artistic, bespoke stim objects by applying novel programming techniques and innovative materials to automated knitting machines.

Preparing Autistic Students for the AI Workforce

We teach AI, communication, and teamwork skills to autistic community college students in a 10-week online course. Afterwards, we facilitate our students to obtain AI-focused summer internships where they can practice what they learned and increase their access to AI careers. We use a strengths-based approach to provide strategies and supports that allow individuals with autism to engage confidently, competently, and with a positive sense of self when navigating the complex and challenging social environment of the workplace. This is a collaboration with SureStart, an AI-focused education startup.

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Collaborative Blockly

We are enhancing Google’s Blockly programming environment with functionality to create virtual spaces where autistic youth can learn to work with others through scaffolded, supportive interactions. Our system will help them manage how and when they interact with each other, for example by building collaboration skills in stages in which they can code in the same project but maintain a carefully scaffolded separation of effort. This will ease the coordination skills required to simultaneously edit code with one another and scaffold the social interactions required to integrate independent work into a shared project.

Socially Acceptable Assistive Technology

Despite their advanced functionality, much of assistive technology (AT) is rejected or abandoned by individuals with disabilities. We explore how AT can influence the social standing and elicit stigma, and propose designing for systems to fit users’ social contexts. Our current focus is on developing ADHD-centered executive functioning support tools (ACES).

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INTENT

Interactive Tool for Empathy in Neurotypicals

Neurotypical people can’t always tell when their autistic colleages are experiencing distress from sensory overstimulation. A resulting lack of empathy can lead to stigma and discrimination against those autistic colleagues. Our goal is to help neurotypical people become better allies towards their autistic colleagues by educating them about autistic experiences. We center the autistic person’s perspective in an immersive VR lesson to explain the effects of sensory overstimulation and tell neurotypicals how they can help. Better understanding will lead to improved empathy.

People

Faculty

Andrew Begel
Professor
Software and Societal Systems Department

Collaborators

Naba Rizvi
PhD Student
UC San Diego
Mauli Pandey
Software Engineer
Google
Karen Krainz Edison
Program Manager
Ohio State University
Amy Tavares
Neurodiversity Program Manager
Carnegie Mellon University
Hala Annabi
Professor
University of Washington at Seattle
Kathryn Dow-Burger
Clinical Professor
University of Maryland at College Park
Jennifer Wessel
Associate Professor
University of Maryland at College Park
Elizabeth Redcay
Associate Professor
University of Maryland at College Park
D. Matthew Boyer
Research Associate Professor
Clemson University
Steven Isaacson
Disability Strategist
Sunflower Like Strategies
Somayeh Asadi
Associate Professor
University of Virginia
Richard Kubina, Jr.
Professor
Penn State University
Taniya Mishra
Founder and CEO
SureStart
Claire Le Goues
Professor
Carnegie Mellon University
Yuriy Brun
Professor
University of Massachusetts at Amherst
Madeline Endres
Assistant Professor
University of Massachusetts at Amherst

PhD Students

JiWoong (Joon) Jang
Human-Computer Interaction Institute
Gabrielle Ohlson
Robotics Institute
Kaia Newman
Software and Societal Systems Department
Eryn Ma
Software and Societal Systems Department
Jule Jensen J
Jule Jensen
Technical University of Bremen
Ren Butler
Human-Computer Interaction Institute
Reagan Keeney R
Reagan Keeney
University of Massachusetts at Amherst

Postdocs

Masters Students

Undergraduate Students

Allison Xia
Allison Xia
Tammy Pham
Smith College
Simran Agarwal S
Simran Agarwal

Postdoc Alumni

Andrew Hundt : Robotics Institute

Graduate Student Alumni

Simon Chu : Software and Societal Systems Department
Wenxin (Wendy) Ju
Alana Rogers
Manvi Gupta
Mingzhe (Vera) Li
Morgan Evans : Software and Societal Systems Department
Jin Jin Du
Qiaoqiao Ma
Sri Lakshmi Pakhala
Rebecca Jiang
Siyun Wen
Won (Irene) Choi
Mathilda Chen
Apolline Tardy
Marie Shvakel : University of Massachusetts at Amherst

Undergraduate Student Alumni

Justin Zou
Meixuan (Lucy) Li
Raymond Welgosh
Emily Amspoker
Justin Hsieh
An Tang
Ireoluwa Alarape
Zhiheng (Andy) Ye
Dhruva Reddy
Mahith Edula
Adam Bournes
Sidney Ozcan
Parishi Jain
Zimeng (Ayla) Wang
Gabriel Aguirre
Kajal Mehta
Yiqun (Melody) Zhang
Saanika Chauk
Erica Fu
Baramee (Bing) Bhakdibhumi
Janise Kim
Meghana Tera
Joseph Lee
Wenjun (Connie) Zhou
Emily Yu
Christina Trice : University of Maryland at College Park
Juno Bartsch : Haverford College
Yanzi (Veronica) Lin : Wellesley College
Chris Lee
Octavius Tan
Amanda Zhu
Michelle Feng
Yihan (Hanna) Luo
Jiachen Liu
Emma Enkhbold
Zachary Miller : University of Pittsburgh
Alex Zhu : Information Systems
Hermosa Huang
Sonya Karnataki
Adrian Munoz
Chen Hwang
Jiayang (Jasmine) Shi
Akeil Smith
Yiyao Wang
Mia Yancey : Clemson University
Dylan Yang
Isha Swaminathan
Luciana Requena
Wunwan Boonsitanara
Miriam Brody : Pomona College
Christine Truong : Carnegie Mellon University