Ashley Lynn Kiemen, Ph.D., M.S.

Headshot of Ashley Lynn Kiemen
  • Assistant Professor of Pathology

Background

Ashley Kiemen received her Bachelor’s degree in 2016 from the University of Michigan Ann Arbor, majoring in Chemical Engineering. She received her Master’s degree in 2017 from the London School of Economics and Political Science, majoring in Philosophy. She received her Doctoral degree in 2021 from the Johns Hopkins University, under the mentorship of Profs. Denis Wirtz and PeiHsun Wu, in the Department of Chemical & Biomolecular Engineering. She is currently an Assistant Professor of Pathology and Oncology at the Johns Hopkins University School of Medicine. Her research focuses on use of image processing and deep learning algorithms for study of pancreatic cancer.

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Titles

  • Assistant Professor of Pathology
  • Assistant Professor of Oncology

Departments / Divisions

  • Oncology - Cancer Invasion and Metastasis
  • Pathology - Informatics

Education

Degrees

  • Ph.D.; Johns Hopkins University (Maryland) (2021)
  • M.S.; London School of Economics and Political Science (United Kingdom) (2017)
  • B.S.; University of Michigan (Ann Arbor) (Michigan) (2016)

Research & Publications

Research Summary

Dr. Kiemen's research focuses on development of novel computational approaches for understanding the microanatomy of pancreatic cancer. Her group has developed CODA, a technique for 3D reconstruction of large tissues at single cell resolution that is capable of integrating molecular and genetic information. Her interests lie in spatially mapping the anatomical, immune, and genetic profiles of pancreatic cancer precursor lesions and pancreatic cancer invasion patterns at local and distant sites. Using CODA, her group is also exploring 3D microanatomy in tissues including the heart, lungs, kidney, and fallopian tubes.

Technology Expertise Keywords

image processing; artificial intelligence; digital pathology; pancreatic cancer

Selected Publications

A.L. Kiemen, A. Braxton, M. Grahn, K. Han, J. Babu, F. Amoa, S.M. Hong, T. Cornish, E. Thompson, L. Wood, R. Hruban, P.H. Wu & D. Wirtz. (2022). “CODA: a method for 3D reconstruction of large, serially sectioned tissues.” Nature Methods 19(11), 1490-1499

A.L. Kiemen*, Y. Choi*, A. Braxton, C. Pérez, S. Graham, M. Grahn, N. Nand, N. Roberts, L. Wood, P.H. Wu, R. Hruban, D. Wirtz (2022) “Intraparenchymal Metastases as a Cause for Local Recurrence of Pancreatic Cancer.” Histopathology. 82(3), 504-506.(*co-first authors)

A.L. Kiemen*, A. Damanakis*, A. Braxton*, J. He, D. Laheru, E. Fishman, P. Chames, C. Perez, P.H. Wu, D. Wirtz, L. Wood, R. Hruban. (2022) Visualizing tissues in three dimensions provides novel insights into the biology and clinical behavior pancreatic cancer: Tissue clearing and 3D reconstruction of digitized serially sectioned slides. Med. (*co-first authors)

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