Hello! I’m a PhD student in Human-Computer Interaction and Human Factors at Rice University.
My research explores usability, cognitive modeling, leveraging Python and statistical modeling to drive data-driven insights. From optimizing AR interfaces for NASA to developing computational models for visual perception, I combine experimental design and analytics to improve user experiences. I’m passionate about applying research-driven solutions to real-world problems.
Human-Centered Design
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Smart Stovetop & Oven
Redesigned a smart electric stovetop and oven to improve usability, safety, and user satisfaction—proactively addressing user needs and expectations through human-centered design.
Methods: Task Analysis, Existing Systems Analysis, Analysis of Performance Limits and Capabilities, Adherence to Standards and regulations.
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Environment Systems: Autonomous Vehicle
Designed controls and displays for environmental systems—including air conditioning, seat warmers, and more—in a Level 4 autonomous vehicle, utilizing gesture and voice-based interfaces to enhance user interaction in a hands-free driving context.
Methods: Prototyping, Card-Sorting
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Smart Grocery Cart
Designed a smart shopping cart with a built-in scanner and camera to let shoppers bypass traditional checkout and streamline the in-store experience.
Methods: Verbal protocol analysis, Task-based testing with digital prototypes, Cognitive walkthrough. Flow analysis
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Khoury Kalendar
Developed a Java-based interface that let students check office hour wait times and join a queue remotely, reducing overall time spent at office hours by over 75%.
Methods: Paper and Digital Prototyping, User Testing -
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Task Order Effects on the System Usability Scale (SUS)
Research study on task order and usability (SUS), showing overall usability ratings were ~11% higher when participants completed the hard task first (61.4) versus the easy task first (55.2)
Methods: Usability Study -
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Formula 1 Commentary Analysis
Investigated factors influencing commentator predictions and race outcomes, focusing on racer fame, team strategy, and tire decisions.
Methods: Collected and coded pre-race commentary and race data from 18–19 races (2020–2022), assessed prediction accuracy, racer saliency, and tire/pit strategies across drivers and teams.
Academic Research
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Visual Grouping Algorithm
Dissertation research focused on developing an algorithm to extend the ACT-R cognitive architecture.
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Transparency Questionnaire for AI Systems
This project involved developing a questionnaire to evaluate user perceptions of product transparency, utilizing insights from previous discussions on transparency. Further psychometric training this semester aims to refine and validate the questionnaire for future publication.
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Essentialism, Anthropomorphism, and AI
This study focuses on answering the following questions: How does essentialist thinking about technology affect attitudes about AI? How does anthropomorphic thinking about technology affect attitudes about AI? What is the relationship between anthropomorphism, essentialism, and attitudes about AI?
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Communicating Intuitively
This study built on to previous research regarding science communications; we used the learnings from “Findings from the NUCOREpus” to test participants’ understanding of articles about DNA that contain varying levels of intuitive language.
We found that anthropomorphic language improved understanding, while essentialist language impaired understanding.
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Findings from the NUCOREpus
This was a field study that evaluated the use of intuitive language across publicly available science communications about DNA and Genetics. We sourced articles from the internet and examined the levels of intuitive language they contained; specifically, anthropomorphism, essentialism, and teleology.
Programming Work
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Machine Learning for Soccer Transfermarkt
This project focuses on developing a machine-learning algorithm to predict soccer players' market values based on demographics and game-play statistics, aiming to identify key value drivers and detect under- or overvalued players.
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Maze Game
This is a maze game where players must try to escape by navigating their way from the top-left of the maze to the bottom-right. The goal was to develop a maze game that allows users to render the solution using both depth-first & breadth-first searches
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Animator
The goal of this project was to build an application that helps to create simple but effective 2D animations from shapes. I developed a program that reads text files to generate animations.
