Supriya Munshaw, PhD

Senior Lecturer
Management & Organization
Areas of Interest
Technology Transfer, Commercialization of early-stage technologies, Healthcare and pharmaceutical strategy

Supriya Munshaw, PhD (Computational Biology & Bioinformatics, Duke University) joined the Carey Business School faculty in 2013. She is a Senior Lecturer in the Practice Track with interest in technology transfer and commercialization of early-stage technologies. At Carey she has taught several courses including Discovery to Market, Biotechnology and Pharmaceuticals, Statistical Analysis, Business Leadership and Human Values and, New Product Development. She is one of the founders and organizers of the Johns Hopkins Bootcamp for Biomedical Entrepreneurs. She advises and works with local biotech and medtech startups, has served as adjunct faculty for the NSF I-corps program and has served on NIH SBIR grant review panels. She also serves as the Chair of the Committee on Diversity and Inclusion for faculty and staff at Carey.

Honors and distinctions

  • Dean’s Award for Faculty Excellence, 2019
  • Johns Hopkins University Diversity Recognition Award, 2019
  • Dean's Award for Faculty Excellence, 2018

Selected publications

  • Munshaw, S. & Chawla, A., (2019). Pricing a new drug. SAGE Business Cases. 2019. doi:10.4135/9781526498601
  • Munshaw S, Bailey JR, Liu L, Osburn WO, Burke K, Cox AL and Ray SC. 2012. Computational Reconstruction of Bole1a, a Representative Synthetic Hepatitis C Subtype 1a Viral Genome. J Virol. 86(10):5915-21.
  • Munshaw S, Hwang HS, Torbenson M, Quinn J, Hansen KD, Mehta SM, Ray SC, Thomas DL, and Balagopal A. 2012. Laser Captured Hepatocytes Show Association of BCHE Loss and Fibrosis Progression in Hepatitis C Virus Infected Drug Users. Hepatology.
  • Munshaw S and Kepler TB. 2010. SoDA2: A Hidden Markov Model Approach for Inference of Immunoglobulin Rearrangements. Bioinformatics. 26: 873-881.
  • Munshaw S and Kepler TB. 2008. An Information-Theoretic Method for the Treatment of Plural Ancestry in Phylogenetics. Mol. Biol. Evol. 25(6):1199–1208.