Rami Vanguri is a postdoctoral research scientist in the Tatonetti Lab.  His research focuses on the usage of novel machine learning techniques in combination with large observational datasets (such as Electronic Health Records) to further the understanding of biological interactions.  Areas of focus include: searching for rare variants responsible for adverse drug reactions and disease subtypes, discovering adverse events resulting from the interaction of multiple drugs, neural network based fine-grained phenotyping with clinical notes, and the utilization of high performance computing with clinical data.

Prior to joining the Department of Biomedical Informatics, Rami studied experimental particle physics with the ATLAS experiment at the Large Hadron Collider (LHC), part of the European Organization for Nuclear Research (CERN) in Geneva, Switzerland.  His doctoral work focused on searching for the Higgs boson as well as its possible interaction with dark matter, a nonluminous material which comprises most of the matter in the universe and hasn't been observed directly.