About Me
I am a PhD candidate at Northeastern University’s Khoury College of Computer Sciences. I am a mixed methods researcher with expertise in experimental design, survey methodology, and statistical modeling.
I am Experienced in designing and conducting user studies with a focus on human-centered AI. My research explores how people perceive, interact with, and form expectations around AI-generated content — and how those insights can inform the design of more intuitive, trustworthy, and user-centered AI experiences.
Portfolio
Interactive documents showcasing my research in
Publications
Experiences
- Designed and conducted a mixed-methods study (n=154, 852 trials) examining how people perceive AI vs. human-created content
- Analyzed user experience metrics using statistical analysis (ordinal logistic regression (CLMM) with crossed random effects, likelihood-ratio tests, and binomial tests)
- Conducted thematic analysis of 852 open-ended responses using NVivo (+inter-rater reliability)
- Analyzed 20,000 user session logs using information-theoretic framework to quantify uncertainty in player choices
- CS 5340 Human Computer Interaction
- CS5800 Algorithms
- CS3520 Programming in C++ * 3
- CS 3540 Game Programming * 3
- Built features for a health platform connecting users with dietitians, enabling personalized diet planning, progress tracking, and doctor-patient communication
- Built frontend components in Angular for user dashboards and progress visualization
- Collaborated in Agile sprints using Azure DevOps; participated in code reviews, sprint planning, and cross-team coordination
- Developed RESTful APIs and PostgreSQL database schemas to support user health profiles, appointment scheduling, and diet progress monitoring
- Designed and implemented microservices for core platform functions including transactions, SMS/push notifications, and user management using Node.js and Nest.js
- CE 3102213 Algorithm Design course
Certifications
Skills & Proficiency
Survey & Experimental Design
Mixed Methods Research
Survey Methodology
Experimental Design
A/B Testing
Usability Studies
Log Analysis
Conjoint analysis
Thematic Analysis
Statistical Methods
Qualtrics
IRB protocols
Programming & Tools
Python
TypeScript
JavaScript
C++
Git
Azure DevOps
Data Analysis & Machine Learning
SQL
pandas
NumPy
scikit-learn
PyTorch
SLURM
Visualization
Tableau
Canva
Figma
Matplotlib
HTML
CSS