Curriculum vitae

Honors Thesis: Caregivers’ Perception of Robot Capabilities and Errors

• Lead study design and deployment planning for an NIH clinical trial, a six-week in-home study evaluating a socially assistive robot for college students with elevated levels of anxiety
• Design implicit personalization mechanisms for longitudinal human-robot interaction, including user-state models, conversational memory selection, adaptive scaffolding, and context-aware dialogue policies
• Develop survey instruments, IRB materials, and longitudinal measures of trust, acceptability, comfort, and continued-use intentions to evaluate changes in engagement across repeated interactions

• Selected as NSF REU Fellow ($9,000) at the University of Washington to contribute to an Amazon-funded project on shared autonomy in human-robot interaction in a home environment
• Developed a web-based teleoperation and shared autonomy system for the Hello-Robot Stretch, enabling users to specify control handoffs via end-user programming in long-horizon tasks
• Evaluated system performance across 10 in-home tasks, identifying technical limitations
• Led a 24-participant user study (novice and experienced) to analyze human-in-the-loop decisions and inform future approaches to personalized robot learning

• Implemented and conducted 7 experiments in Python with 240 participants total on visual grouping and analyzed data, enhancing a computational model for evaluating voting ballot design
• Selected appropriate study objectives and research methods to build on findings and establish a visual grouping hierarchy
• Supervised a 60-participant study comparing AI-based and traditional web-based information gathering, evaluating task performance and cognitive strategies in health and consumer contexts

• Conducted 2 experiments and analyzed eye-tracking data from 50+ participants using R, applying statistical methods
• Revamped the data analysis pipeline by developing R scripts to automate cleaning and visualization of Excel datasets
• Synthesized findings from over 30 peer-reviewed studies in a literature review on nature exposure and driving performance, focusing on attention, reaction time, and driver well-being

• Formulated an honors thesis under Dr. Vaibhav Unhelkar on how informal vs. formal caregivers perceive and respond to robot errors, guiding the design of intuitive training methods and trust-aware robotic systems
• Designed and proposed methodology, analytic plan, and survey measures to examine error perception, recovery strategies, and trust outcomes across caregiver groups in both home and clinical care contexts
• Implemented robot-assisted caregiving tasks with error injection via YOLO training and state-based task control

• Conceptualized a study examining how cultural dimensions shape acceptance and preferences for mental well-being support types (peer support, psychoeducation) across technology modalities (AI chatbots, AR/VR, social robots)
• Administered a survey to 200+ US participants and am expanding to include participants in Japan and Saudi Arabia
• Won a $1,000 grant through the Rice Office of Undergraduate Research and Inquiry

• Authored a research proposal to NASA, accepted as 1 of only 10 selected nationwide
• Designed low- and high-fidelity prototypes for an augmented reality heads-up display to support spacesuit operator interactions during ingress and egress for extravehicular activities, through iterative human-in-the-loop studies

• Developed a centralized tool to improve response during irregular operations for 5 teams, consolidating 32 essential softwares through Figma, PowerApps, and TypeScript, motivated by cross-team data analysis
• Led a migration readiness study through a Qualtrics survey (80+ participants), performed Pareto analysis on 300+ entries to prioritize high-impact features, and created video training

• Led UI/UX development of Slingshot OS and Geniverse, AI-driven platforms for operational efficiency, and managed end-to-end implementation of new use cases for student users over 20 agile sprints
• Authored an AI education document to support informed use, adopted by 75 employees

• Led end-to-end website development and digital marketing for 3 nonprofit clients, integrating accessible design and stakeholder feedback
• Managed cross-functional teams and coordinated developers and designers

Languages

• Python
• Java
• C
• JavaScript
• TypeScript
• ROS
• Unity
• HTML
• SQL
• Go
• R
• JASP

Developer tools

• Git
• IntelliJ
• VS Code
• Jupyter
• Google Colab
• Jira

UI/UX

• usability testing
• user interviews
• participatory design
• task analysis
• wireframing
• card sorting
• heuristic evaluation
• experimental design
• Figma
• Sketch
• LucidChart
• Adobe Illustrator
• Adobe InDesign

Interests: rock climbing, painting, horse riding, meditation