Dr. Bromberg’s pioneering research uses machine learning and bioinformatics to decode the DNA “blueprints” of life’s molecular machinery. Her lab develops innovative computational methods to understand where this machinery comes from, how it works, and why it matters — questions central to improving human health, preserving the environment, and even exploring the origins of life.

Among her notable achievements is the development of SNAP, a neural network–based method that predicts disease susceptibility by analyzing protein-coding regions of the genome. Her findings have broad implications for disease diagnosis, environmental remediation, and evolutionary biology.

Dr. Bromberg’s work has been recognized by major agencies including NASA, NIH, and the National Science Foundation (NSF), which awarded her a prestigious CAREER Award. She is also a Fellow of the Munich Institute for Advanced Study. Her more than 60 publications span topics from predicting cancer-driving genetic variants to uncovering the molecular evolution of viruses such as SARS-CoV-2.

A double major in Biology and Computer Science (Magna Cum Laude) from SUNY Stony Brook, Dr. Bromberg went on to earn her Ph.D. in Biomedical Informatics from Columbia University. She has shared her work with audiences worldwide, including a TEDx Rutgers talk on the intersection of biology and artificial intelligence.

A past Brooklyn Tech Alumni Foundation Distinguished Alumni honoree, Dr. Bromberg exemplifies the Technite spirit — combining creativity, curiosity, and computing to push the boundaries of discovery.