About me

I am currently a computer science master's student at Northeastern University.


My passion lies in Human-Centered Artificial Intelligence, particularly related to assistive technology. My goal is to continue to work on human behavior and develop computation tools to improve people's quality of life.

I am currently looking for a research assistant opportunity.

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Education

Master - Computer Science

Sep 2021 - 2024 (Expected)
Northeastern University

Bachelor -  Managerial Economics

Sep 2013 - May 2017
University of Massachusetts Amherst
Publication

2024

Impact of Game Fidelity on Player Empathy In Gaminiscing Games
J. Cox*, S. Chan*, B. Lyman, A. Ebrahimi and B. De Schutter

Work in Progress

Analyzing the Dynamics of Verbal and Non-Verbal Behaviors in Cooking Interactions with LLM-Based Voice Assistants
S. Chan
, S. Fu, J. Li, B. Yao, M. Prpa and D. Wang

Work in Progress

"Mango Mango, How to Let The Lettuce Dry Without A Spinner?'':
Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner
S. Chan*, J. Li*, B. Yao, A. Mahmood, C. Huang, H. Jimison, E. D. Mynatt, D. Wang

Under Submission - Peer Reviewed
ArXiv

Cardistry: The Application of Artificial Intelligence to Create Personalized Playing Cards
B. Lyman, J. Cox, A. Ebrahimi, S. Chan, C. Barney and B. De Schutter

FDG 2024

2023

Brukel vs Brukel : Impact of Game Fidelity on Player Experience In Gaminiscing Games
S. Chan,
J. Cox, A. Ebrahimi, B. Lyman and B. De Schutter

IEEE Conference on Games 2023
PDF PRESENTATION

Catch The Butterfly: Using Gaminiscing to Design a Serious Game about Immigrants
A. Ebrahimi, B. Lyman, J. Cox, S. Chan and B. De Schutter

IEEE Conference on Games 2023
PDF

Catch The Butterfly: A Gaminiscing Game about Immigration
A. Ebrahimi, B. Lyman, J. Cox, S. Chan and B. De Schutter

IEEE Conference on Games 2023
PDF
Research Experience

Northeastern University Human-Centered AI Lab

Apr 2023 – Present |  Advisor: Prof. Dakuo Wang

- Leading a research project exploring people’s successful and unsatisfactory experiences while receiving assistance from a Large Language Model-based (LLM) voice assistant in the cooking scenario.

Northeastern University Storytelling Through Experimental Gameplay (S.T.E.G) Lab

Aug 2022 - Present | Advisor: Prof. Bob de Schutter

- Leading a research project investigating the impact of game audiovisual fidelity on player experience and empathy in a Gaminiscing game, Brukle.

University of Massachusetts Amherst

Sep 2016 - May 2017 | Advisor: Prof. Nathalie Lavoie

- Assisted professor’s research on the impact of FDA’s updated nutrition-facts labeling rule by conducting a comparative study of 117 restaurant chains affected by such rule and other restaurant chains unaffected

Professional Experience

Software Engineer Intern | Kohl's

Jun 2023 – Aug 2023 |  Kohl's App

- Assisted in migrating Kohl's App customer profile section from hybrid to native Android version, supporting full app migration.
- Utilized MVVM architecture (Kotlin and Jetpack Compose) for optimal performance and maintainability.
- Contributed to UI/UX design and architecture discussions in Figma, enhancing user experience and refining the framework.
- Integrated REST APIs for seamless server data retrieval and display, optimizing efficiency.
- Implemented activities and fragments for app screens and interactions.
- Collaborated closely with cross-functional teams (designers, product managers, backend developers) for high-quality feature delivery.

Software Development Coop | MIT Lincoln Laboratory

Jan 2023 – May 2023 |  Post Mission Analysis System  

- Developed a non-GUI application in C++ for visualizing post-mission raw data in image form.
- Contributed to an existing GUI application by adding new functions in C++ to improve the existing system.
- Collaborated with the team to conduct testing and ensure proper functionality.

Software Engineer Intern | Cerevel Therapeutics

Feb 2022 - Apr 2022 | Clinical Trial Management System Browser (R Shiny Web Application)

- Analyzed data derived from CTMS to create key metrics for characterizing and evaluating clinical trial site performance.
- Built dynamic interface with Map API for clinical site selecting and showed relative key metrics and performance.
- Built interactive scorecards incorporated ggplot and Ploty for each clinical site to showcase patient performance.
- Developed and implemented the R Shiny browser application for internal users to access patient clinical trial metadata.
- Designed and developed data model from scratch for ingesting input clinical trial and site data into R data structures

Category Leadership Associate, Category Manager | Advantage Solutions

Jul 2017 - Sep 2021

- Engages solid working connections with retailers and manufacturers.
- Identify opportunities and provide Category Management services, including category reviews, pricing analysis, shopper & geodemographic insight, and shelf & product assortment recommendations for 32 clients to grow in the East Central area.
- Prepare and deliver insight-driven "storytelling" presentations to clients and senior leaders with actionable tactics and strategies.
- Develop training materials about "storytelling" presentations for the northeast sales team and enhance their capacities in communication and public speaking.
- Assist clients in preparing presented new distributions without item deletion and track promotion results through reviewing ROI.