Statistical Inference on Networks and High-Dimensional Data

A workshop held in honor of Professor Carey E. Priebe's 60th birthday

October 18, 2023 - October 20, 2023


Minh Tang
North Carolina State University
Avanti Athreya
Johns Hopkins University
Vince Lyzinski
University of Maryland

The analysis of network-structured and high-dimensional data plays a critical role in many disciplines across the social and natural sciences. The past several years have seen rapid advancements in statistical methodology for such data, spanning classical statistical inference, such as testing and estimation, and modern machine learning, such as neural networks, information retrieval, and prediction. Join us in recognizing Professor Carey E. Priebe’s distinguished contributions to statistics on networks at this workshop in honor of his 60th birthday, where colleagues, students, and researchers will meet, collaborate, and tackle important new problems in the field.

Carey E. Priebe received the BS degree in mathematics from Purdue University in 1984, the MS degree in computer science from San Diego State University in 1988, and the PhD degree in information technology (computational statistics) from George Mason University in 1993. From 1985 to 1994 he worked as a mathematician and scientist in the US Navy research and development laboratory system. Since 1994 he has been a professor in the Department of Applied Mathematics and Statistics, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland. At Johns Hopkins, he holds joint appointments in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering, as well as the Center for Imaging Science, the Human Language Technology Center of Excellence, and the Mathematical Institute for Data Science. His research interests include computational statistics, kernel and mixture estimates, statistical pattern recognition, dimensionality reduction, model selection, and statistical inference for high-dimensional and graph data. He is a Senior Member of the IEEE, an Elected Member of the International Statistical Institute, a Fellow of the Institute of Mathematical Statistics, and a Fellow of the American Statistical Association. He won an Office of Naval Research Young Investigator Award in 1995, was named one of six inaugural National Security Science and Engineering Faculty Fellows in 2008, and was recipient of the American Statistical Association Distinguished Achievement Award in 2010. In 2011 he won the McDonald Award for Excellence in Mentoring and Advising.


  • Joshua Agterberg, University of Pennsylvania
  • Jesus Arroyo-Relion, Texas A&M University
  • Joshua Cape, University of Wisconsin-Madison
  • Nathaniel Josephs, North Carolina State University
  • Zheng Tracy Ke, Harvard University
  • Keith Levin, University of Wisconsin-Madison
  • Liza Levina, University of Michigan
  • Tianxi Li, University of Minnesota
  • Lizhen Lin, University of Maryland
  • Zachary Lubberts, University of Virginia
  • Subhadeep Paul, The Ohio State University
  • Marianna Pensky, University of Central Florida
  • Karl Rohe, University of Wisconsin-Madison
  • Patrick Rubin-Delanchy, University of Bristol
  • Purnamrita Sarkar, University of Texas at Austin
  • Jonathan Stewart, Florida State University
  • Daniel Sussman, Boston University
  • Michael Trosset, Indiana University Bloomington
  • Joshua Vogelstein, Johns Hopkins University
  • Harrison Huibin Zhou, Yale University