Jennifer Hammelman

Jennifer Hammelman is a researcher with a background in computational biology and machine learning.12 She completed her Ph.D. at the Massachusetts Institute of Technology (MIT), where her thesis focused on chromatin accessibility and its role in cell identity.3 During her time at MIT, Hammelman worked on a project involving variational autoencoders to learn representative chromatin accessibility profiles and make accurate binding predictions at motif sites.1

Hammelman's educational background includes a Bachelor of Science degree from Tufts University. She is currently based in Lawrence, New Jersey, and has 354 connections on LinkedIn.2 Her research interests appear to be at the intersection of computational biology, machine learning, and genomics, with a particular focus on chromatin accessibility and its implications for understanding cell identity and gene regulation.