Reyhan Jamalova

My research interests lie in the intersection of data science, machine learning, and social science. I enjoy applying computer science skills to diverse fields like biomedical science and social sciences. Recently, I've been working on characterizing the geographical landscape of misinformation, such as studying its impact on COVID-19 vaccine discussions on X (Twitter). I started my research journey with the First-Year Exposure to Research in STEM program, contributing a MATLAB code for analyzing transcriptional activity from live images in Lim Lab. Last summer, I worked with Professor Guntuku through the Rachleff program to develop a misinformation detection pipeline using unreliable URLs from X data. I'm currently extending this work by expanding our analysis beyond URLs to include content-based entailment tasks to assess misinformation from text. I'm happy to support other students in getting involved in research at Penn. Whether it's about connecting with professors, navigating the research landscape, or doing research in general, feel free to reach out.

• First-Year Exposure to Research in STEM in SEAS Program Participant
• Rachleff Scholar
• Research Assistant, Lim Lab; Advisor: Dr. Bomyi Lim
• Research Assistant; Advisor: Prof. Sharath Chandra Guntuku
• First place for the poster presentation at Penn Engineering's research symposium on August 3rd, 2023. See poster here.