Every digital advertisement generates data: impressions, clicks, conversions, and user engagement signals. But which ads actually cause someone to act? This project builds a real-time system that captures advertising interactions as they happen and applies causal analysis to determine true incremental impact, transforming raw marketing data into automated, decision-ready insight. The research was presented at… continue reading
Alaska supplies roughly 80 percent of North America’s wild-caught salmon, making the industry both an ecological cornerstone and a major economic driver for the state. This poster examined how climate change and economic pressures are reshaping that industry, asking whether rising ocean temperatures, sea level change, and ocean acidification are measurably affecting salmon populations and… continue reading
Designing and training deep learning models often requires advanced expertise, particularly when defining loss functions, optimizers, and model architectures. This work explored how large language models could lower those barriers by automating the creation of custom loss functions tailored to specific optimization goals. The capstone was presented at the Graduate Poster Exhibition during the 2025… continue reading
For women pursuing careers in science and mathematics, sustained mentorship, faculty leadership, and institutional investment are often decisive in whether opportunity leads to long-term participation. At Rutgers University–Camden, a new five-year, $700,000 award from the Henry Luce Foundation’s Clare Boothe Luce Program for Women in STEM will support professorships and initiatives designed to strengthen those… continue reading
Artificial Intelligence (AI) pilots get launched every day, but very few make it past the novelty stage. That tension is where this reflection begins. Data Science MS alum Eshaa Gogia, now a Data Engineer at Florida Blue in the Miami and Fort Lauderdale area, lays out why so many promising ideas never become scalable change…. continue reading
Originally from Andhra Pradesh, India, Geetanjali Kaza is a graduate student in Data Science at Rutgers University-Camden. With a Bachelor’s degree in Computer Science and Engineering and valuable work experience, she is dedicated to developing innovative methods for extracting meaningful insights from vast healthcare datasets. Her academic journey is driven by a passion for leveraging… continue reading
