I'm currently a 4th year PhD student in Psychology at the University of Toronto, Regulatory and Affective Dynamics Laboratory. My primary research focuses on user experience, wellbeing, technology, and automation (Projects). I received my Bachelor's degree in Social Psychology from the University of California, Irvine and my Master's degree in Applied Behavior Analysis from the University of Southern California.

Something fun about me:
I enjoy writing code, developing games, playing with data, making coffee, taking photos, traveling, and spending time with my bunny, Mochi.

Research Projects


Mindful Adventure

"Mindful Adventure" is an immersive gaming experience that emerged from my personal passion for game development and my desire to promote mindfulness, emotional regulation, and overall wellbeing. This transformative journey takes players on a profound exploration of self-discovery and personal growth. Within this serene world brimming with the beauty of nature, players embark on a progression from 'Novice of Zen' to 'Zen Master' by conquering challenges that require mindfulness and embracing the valuable lessons life presents. Through this research project, my aim is to delve into the impact of "Mindful Adventure" on players' personal growth and mindfulness practices. By examining the game's distinctive features and analyzing players' experiences, I seek to uncover valuable insights into the potential benefits of integrating video games and mindfulness techniques. Ultimately, the goal is to contribute to the fostering of wellbeing and the promotion of emotional regulation, mindfulness, and overall wellbeing among individuals.

Tools: Unity, C#, PixelArt, HTML, CSS, R


AI Chatbot & Wellness

As the Lead Researcher, Project Manager, and Programmer for the AI Chatbot & Wellness, I played a central role in the design, development, and programming of an AI chatbot with a strong emphasis on data-driven wellness promotion. Initially, I focused on conceptualizing and designing the chatbot's interface, ensuring it was intuitive and user-friendly while seamlessly integrating with its capabilities. Once the design phase was complete, I turned my attention to writing the back-end code to ensure the chatbot operated smoothly and efficiently. This comprehensive involvement, from design to code implementation, was instrumental in achieving our primary goal: delivering personalized mental health interventions tailored to users' selected value domains during training sessions. Subsequently, I conducted in-depth data analysis to uncover valuable trends and patterns within user data, leveraging these insights to shape our product roadmap and guide continuous improvement efforts. Simultaneously, I led extensive user experience studies, expertly combining qualitative and quantitative methods. Through structured user interviews, I identified areas for enhancing the user experience and effectively translated data-driven recommendations into actionable changes, leading to a noticeable increase in user engagement. Additionally, I conducted content and sentiment analysis, alongside clustering techniques, to uncover hidden patterns in user feedback, facilitating data-driven decision-making. My comprehensive involvement throughout the entire process, from design to data analysis, was instrumental in achieving substantial enhancements in user wellbeing compared to alternative survey platforms.

Python, R, JavaScript, HTML, CSS, SpeechAI, Firebase, Jupyter Notebook, Qualtrics, Tableau


Gameplay & Automation

As the Programmer and UX Researcher for the Gameplay & Automation project, I led a project focused on investigating users' subjective experiences with automated and manual processes. Using Python, JavaScript, HTML, and Firebase, I designed an interactive system featuring a dino-bot completing tasks for users. To ensure engagement, I included auto-prompt features that alerted users to pay attention to the screen. The project will be published in the winter to collect data and I will analyze and build user profiles based on their demographic and personality characteristics. In this project, I developed skills in front-end web development, data management, analysis and visualization, user experience research, design, and testing, and project management and leadership.

Tools: Python, JavaScript, HTML, Firebase, R


Mindfulness & Wellbeing

As the Project Lead for the Mindfulness & Wellbeing App at UofT, I designed and led the development of a mindfulness and wellbeing app, utilizing user-centered design principles and conducting ongoing usability tests to improve app features and user experience. I utilized advanced statistical methodologies in R to analyze data from multilevel user studies, providing insights into user behavior and preferences and informing product development decisions. Additionally, I conducted sentiment and content analyses on open-ended survey responses to evaluate the impact of the app on user wellbeing and mental health. Through rigorous data analysis and reporting, I successfully achieved a high user retention rate (87%) and demonstrated improved mental health and regulation skills among a sample size of 600 users. In this project, I developed skills in user-centered design, qualitative analysis, data analysis and reporting, and communication.

This study was published in the Journal of Anxiety, Stress, & Coping, and presented at the Society for Personality and Social Psychology (SPSP) 2022 Conference and the American Psychological Association (APA) 2021 Conference.

Tools: JavaScript, HTML, CSS, React, Firebase, Python, R, Qualtrics


Self-Control & Decision Making

As the lead researcher for the Self-Control & Decision Making project, I designed and conducted an online survey using Qualtrics to study the impact of short-term versus long-term financial decision-making patterns across different income levels and ethnic backgrounds. The study aimed to provide insights into financial decision-making behaviors and their consequences, particularly for individuals with lower incomes and minority groups. I worked closely with a team of researchers to collect and analyze the survey data, which included implementing statistical analysis to identify key findings and trends. I also developed a detailed report summarizing the study results, which was presented at the CalABA 2020 Conference. Through this project, I gained valuable skills in survey design and analysis, data collection and management, statistical analysis, and report writing.


User Behavior Assessment

As a lead researcher for the User Behavior Assessment study, I designed an online study using JavaScript, jsPsych, and Firebase to collect data on video game players. To gain a deeper understanding of the antecedents and consequences of user behaviors, I conducted both qualitative and quantitative data analyses using Python. The project was presented at the Association for Behavior Analysis (ABAI) 2020 Conference, where I had the opportunity to showcase my findings and discuss my research with other professionals in the field. Through this experience, I honed my skills in project management, research design, and data analysis, while also gaining valuable experience in presenting research findings to diverse audiences.


Multilingual Mindfulness Training & Physical Activity

As the Lead Researcher for the Multilingual Mindfulness Training & Exercise project at USC, I interviewed participants to develop personalized exercise plans and collected daily quantitative data (e.g., number of steps, gym visits) and weekly qualitative data (e.g., individual preferences, goal setting) to track progress and improve user profiles. Using tools such as user experience design, interviews, and R programming, I helped 85% of participants increase their daily steps and improve their overall fitness. Additionally, I achieved a 100% increase in the frequency and duration of gym visits. The project used evidence-based mindfulness materials and the online survey platform Qualtrics.

This study was orally presented and published in the Journal of Contextual Behavioral Science.

Work Experience


Research Collaborator

As a Research Collaborator at Upbeing, I collaborate on the development of a new wellness product/service, managing key portions of the research process to ensure optimal user experience outcomes. My responsibilities include conducting targeted literature reviews to gain insights into user behavior and preferences, and producing summary reports to share knowledge across the team. I also propose and validate user-friendly measurements based on evidence-based theories and review research protocols, providing statistical and methods expertise to minimize confounders in study design and increase data reliability. To improve the user experience of the product/service, I perform A/B testing. In this role, I have developed strong skills in user research, data analysis, project management, collaboration, presentation, and communication.


Student Researcher Representative

As a Student Researcher Representative at the Inlight Student Mental Health Research Initiative, I represent the University of Toronto, Mississauga campus to support researchers in developing and implementing student engagement strategies across projects and labs. In this role, I review research grant applications related to student mental health enhancement and facilitate training sessions and consultations to scale-up engagement capacity across research. Additionally, I helped prepare blog posts and presentations to assist future student adjudicators in reviewing grant and fellowship applications. Through these experiences, I have honed my skills in communication, collaboration, project management, presentation, leadership, and proposal writing



As a Consultant at UPLUS ACADEMY LLC, my responsibilities included interviewing users to develop individualized intervention plans and providing tailored behavioral training and supervision to teachers. I also developed strength-based and customized goals and programs for users, as well as visualized user progress reports and presented at weekly supervision meetings. My skills in individual counseling, data analysis, interviewing, mentoring, and management consulting were essential to my success in this role.


User Research Skills

User Interviews, Usability Testing, Card Sorting, Persona Development, Journey Mapping, User Testing, User Surveys, User-Centered Design, Experimental Design

Data Analysis and Synthesis

Qualitative and Quantitative Research, Data Visualization, Predictive Analysis, Statistical Modeling, Clustering & Classification, ML Algorithms, Sentiment Analysis

Programming Languages

Python, R, JavaScript, SQL, C#, AWS, MongoDB, Flask.

Data Visualization and Frameworks

R, Python, Tableau, React, Excel, Flask, HTML, CSS, jsPsych, Firebase, MongoDB.

UX/UI Design

Photoshop, Figma, Unity, Premier, After Effect

Soft Skills

Communication, Collaboration, Project Management, Presentation, Report Writing


Board Certified Behavior Analyst (BCBA), Inspirit AI Innovator, 100 days of Code (Python), Data Analytics Virtual Experience

Lifelong Learning

Having no experience is one thing but having no knowledge is about the attitude.



  • React - The Complete Guide 2023

Machine Learning:

  • Complete Machine Learning & Data Science Bootcamp 2023

Web Development:

  • The Complete 2022 Web Development Bootcamp
  • 100 Days of Javascript


  • Unity 2D Game Developer Course Farming RPG
  • Practical Guide to AI in Unity



  • 100 Days of Python (One of my favorite courses)
  • Programming for Everybody (Getting Started with Python)
  • Python Data Structure
  • Using Databases with Python
  • Using Python to Access Web Data
  • Capstone: Retrieving, Processing, and Visualizing Data with Python

Machine Learning:

  • Machine Learning Foundamentals
  • Classification Algorithms
  • Natural Language Processing
  • Engineering Design Thinking for Psychologist


  • React JS & Firebase Complete Course


  • SQL for Data Analysis


  • Data Visualization with Tableau


  • Learn To Create An RPG Game in Unity
  • Unity C# Programming: Ultimate Guide to Game Scripting 2023