Columbia University
Published in Columbia University, 2024
Data scientist/ML Engineer, Columbia University
Project: (Practicum) Mental Health Venture Collaboration Role: Working on leveraging Machine learning and Natural Language Processing techniques to develop an AI-based mental health intervention.
Learning Outcomes: Python, Data Analysis, Machine Learning
Research Assistant, Cognitive Media Lab, (Collaboration with University of California, San Diego)
Project: (MA Thesis) Misinformation Propagartion on Social Media Role: Analyzing quantitative and qualitative data through rigorous modeling techniques (Machine Learning, Social Networks analysis) to pinpoint key predictors driving the spread of misinformation on social media platforms regarding COVID-19. Learning Outcomes: Web Scraping, Python, Data Analysis, Social Networks Analysis
Research Assistant, Political Science Department, Columbia University
Project: Studying the influence of bot utilization by politicians on social media, and its effects on financial contributions and political outcomes. Role: Web Scraping for politicians and their contributions using API; Data analysis. Learning Outcomes: Web Scraping, Python, Data Analysis, SQL
Ethics & Usage lead at GradeMate, Columbia University
Project: GradeMate is an AI-integrated approach to support instructors in evaluating student assignments. The app leverages Large Language Models (LLMs) to read through assignments and provide feedback to students. Role: As GradeMate is currently in its infancy, my role in the organization has been studying ethical considerations, and developing guardrails for our model. My role has involved literature review, LLM performance analysis, statistical analysis, conducting a systematic internal study to evaluate bias (utilizing API to study bias in grading based on races, ethnicities, gender, and nationalities). I am also in the process of outlining a UX Research study for when the app is safe and ready for testing. Learning Outcomes: Statistical Analysis of LLM Performace, AI-Ethics Research, Research Design, UX Research.