Nova F. Smedley

PhD Candidate
  • UCLA Bioengineering

Office: 924 Westwood Blvd, Suite 420, Room P



Nova is a PhD candidate in the Department of Bioengineering at the University of California, Los Angeles. She became a lab member in the Medical Imaging Informatics (MII) Group in 2014 and has been working on glioblastoma prognosis prediction and identifying radiogenomic associations. Her work has involved image processing, pattern mining, risk modeling, and machine learning. Nova has also worked with the Athena Breast Health Network to estimate breast cancer risk in screening populations at UCLA and fellow MII members on lung nodule diagnosis.

Nova is a recipient of the F31 fellowship from the National Cancer Institute (NCI) under the National Institutes of Health (NIH). Her dissertation on radiogenomics and neural networks is currently funded by the F31. She was previously funded by MII via two NIH grants: a T32 training grant from the National Institute of Biomedical Imaging and Bioengineering and a R01 research grant from NCI.

Previously, Nova received a Bachelor of Science in biomedical engineering and a Minor in biology in 2013 from Rensselaer Polytechnic Institute. Her undergraduate degree focused on biomaterials, but she also studied cancer biology and has experience in cell culture. She spent two undergraduate summers doing stem cell research at a start-up and pediatric cancer research at a children's hospital. This summer, Nova is a graduate data science intern at Chegg.


  1. Smedley NF, Hsu W. Using deep neural networks for radiogenomic analysis. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI). Washington, D.C.; 2018.
  2. Garcia-Gathright JI, Matiasz NJ, Adame C, Sarma KV, Sauer L, Smedley NF, Spiegel ML, Strunck J, Garon EB, Taira RK, Aberle D, Bui AAT. Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies. Computers in Biology and Medicine. 2018;92. DOI: 10.1016/j.compbiomed.2017.10.034. PDF
  3. Shiwen S, Smedley NF, Piedra EAR, Hsu W. Hybrid Hierarchical Model for Lung Cancer Prediction. International Symposium on Biomedical Imaging (ISBI). 2018.
  1. Smedley NF, Chau N, Petruse A, Bui AAT, Naeim A, Hsu W. A platform for generating and validating breast risk models from clinical data: Towards patient-centered risk stratified screening. AMIA Annu Symp Proc. San Francisco, CA, USA; 2015.