Current Research

Beyond the Framework: A Case for Evaluating Theory

Advised by Lana Yarosh, Stevie Chancellor, Joe Konstan, and Loren Terveen

Evaluation is a core pillar in HCI, yet methods for evaluating theoretical contributions remain underdeveloped. To address this gap, we leverage Halverson's four attributes of HCI theory to systematicallya sses the strengths and limitations of our recently published FACTORS framework. Through this evaluation, we aim to establish standards for evaluating theory during peer review, early adotpion, and iterative refinement.

Civil vs. Global: Explore and Depolarize U.S. Reader News Consumption With Personalized LLM Locality Context

Co-first Author Ruixuan Sun | Advised by Joe Konstan

Diverse news consuption is important facet of social reslience. Increasing the diversity of news recommendation has deminishing returns on consuption diversity. To strength the influence of diversity calibration, we are using large language models to highlight personalized events embedded within diverse news on the news recommendation platform POPROX.

Position: How Online Community Ethics Offers Lightweight Solutions to Strengthen the Ecological Validity on ML Evaluation

Advised by Stevie Chancellor and Harmanpreet Kaur

Applications derived from ML research increasingly have pervasive impacts on society. Building on prior work, we argue this gap stems from a directionality problem in how use-implications are retrofitted to technical evaluations. Our position uses case studies in two online communities to demonstrate how lightweight mechanisms for reciprocting value and overseeing community bright-lines in dataset preperation and benchamrking can improve the quality of what we evaluate in online community ML research.

Experience

Research Assistant

August 2021 - (Current)

GroupLens

Investigating the design of social computing systems through empirically studying online communities; using mixed methods approaches to design, implement, and evaluate human centered systems (see Publications).

Machine Learning Research Consultant

November 2024 - August 2025

Eedi

Using PIIvot to obfuscate PII in Eedi datasets; full-stack implementation of A/B testing service infrastucture to inform data-driven design.

Machine Learning Research Intern

May 2024 - August 2024

Eedi

Led the engineering of the open source package PIIvot; fine-tuned Deberta-based NER models to achieve 98% balanced test accuracy; implemented feedback-based repompting for LLM-generated surrogates for PII obfuscation.

Software Engineer

July 2019 - May 2021

Microsoft

Designed and implemented services at scale to host Dynamics 365 apps in Docker containers on Service Fabric clusters; led the design and implementation of my team's work on Project Uno (the seamless integration of CDS and Dynamics 365 infrastructure systems)

Co-Founder/Partner

September 2020 - July 2021

Fivestack

Created software solutions for joint venture partnerships; owned the full-stack implementation of the iOS/Android application for the successful Kickstarter doghouse

IS Software Developer Intern

May 2018 - August 2018

Federated Mutual Insurance

Developed SQL for companywide Multi Product Data Mart reports; automated the company's process for building SSRS reports with VBA Script; presented R&D for an Agile approach to software development to management.

Research Intern

May 2017 - August 2017

UNC Charlotte HCI Lab

Worked independently on the backend recommender system by using machine learning to classify recipe data; conducted empirical study to develop personalized model for curiosity (see Awards).

Publications

Beyond the Individual: A Community-Engaged Framework for Ethical Online Community Research

Matthew Zent, Seraphina Yong, Dhruv Bala, Stevie Chancellor, Joe Konstan, Loren Terveen, Stetlana Yarosh

CSCW 2025 | Best Paper Award

PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues

Matthew Zent, Digory Smith, and Simon Woodhead

EMNLP 2025

Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment

Zachary Levonian, Matthew Zent, Ngan Nguyen, Matthew McNamara, Loren Terveen, Svetlana Yarosh

CSCW 2025 | Best Paper Award

Awards

ACM SIGCHI CSCW

Best Paper Award - 2025

Beyond the Individual: A Community-Engaged Framework for Ethical Online Community Research

See Publications

ACM SIGCHI CSCW

Best Paper Award - 2025

Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment

See Publications

Boss Rush Jam - itch.io

38st Place Boss Design - 2025

1-month "spin"-themed game jam; created Super Smoothie Slasher; spin the speed up on this blender to battle it out with flipping bananas, web-spinning coconuts, and disco pineapples.

HTML5 Game | Competition Page

ACM CHI Graduate Student Research Competition

1st Place - 2023

Anonymous Online Support: Investigations of Identity and Heterogeneous Groups in Online Recovery Support

Extended Abstract | CHI 2023 Winners

Unstoppable Together Hackathon

1st Place - 2020

24-hour hackathon innovating for Jira, Confluence, and Atlassian users; automation, integrations, machine learning, or Tempo themed; created MyTempo, a Alexa based skill integrating with Jira and Tempo.

Video | Github | Blog

Fargo Hackathon - Emerging Prairie

1st Place - 2019

24-hour hackathon for behavioral and mental health issues; developed My Hero, a mobile web app written using Blazor for connecting individuals with peer-support mentors.

Github | Blog

Microsoft Fargo Hackathon

1st Place People's Choice - 2019

72-hour open themed hackathon; created Cyber Attack, an educational game developed in Unity for use in teaching important cyber security concepts to non-technical individuals.

Github

UNC Charlotte Research Symposium

1st Place - 2017

Poster talk and research symposium for REU students working in HCI, Visualization, and Vision and Image Analysis Labs; presented personal contributions to Q-Chef: A User Experience Based on AI Models of Curiosity

Poster | Abstract | Blog