Adriana Tomic

Junior Faculty Fellow (2023)
Assistant Professor Biomedical Engineering and Virology, Immunology & Microbiology

Education
MSc, Immunology/Biochemistry, University of Ljubljana, Slovenia
PhD, Infection biology, Hannover Medical School, Germany
Postdoctoral training, Stanford University School of Medicine
Office
620 Albany Street, National Emerging Infectious Diseases Laboratories (NEIDL)
Email
atomic@bu.edu

Adriana Tomic is an assistant professor of biomedical engineering and virology, immunology & microbiology with appointments at the College of Engineering and the Chobanian & Avedisian School of Medicine at Boston University,  junior faculty fellow of the Hariri Institute. She also leads the Atomic Lab, which conducts research to harness advanced AI and ‘omics’ technologies to refine the precision and impact of our clinical trials focused on human immunology.

Tomic is a PhD immunologist leading a Systems Immunology group at Boston University and co-founder of SIMON, an open-source knowledge discovery platform. Her research focuses on defining the immunological signature of protective immunity, developing novel approaches in human immunology, and accelerating vaccine development through her systems immunology approach. Dr. Tomic received her Ph.D. in Infection Biology from Hannover Medical School, Germany, for which she was awarded a prestigious Hannover Medical School Award and completed her postdoctoral training at Stanford University School of Medicine. Dr. Tomic has received multiple prestigious awards, including the Marie Curie Fellowship, and has been leading various projects funded by prestigious grants, such as the NIAID-funded Centers of Excellence for Influenza Research and Response, The Coalition for Epidemic Preparedness Innovations grant, and the Medical Research Council HIC-Vac network grant. Dr. Tomic is also actively involved in science communication and outreach. She established an open-source community for the development of machine learning applications to biomedical data, leading an interdisciplinary team of data scientists, biostatisticians, machine learning experts, immunologists, and clinicians.

Research Focus Area: At the interface between computational immunology, infection biology, and clinical research, our research aims to define the immunological signature of protective immunity in humans.

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