Lawrence Carin

Professor of Electrical and Computer Engineering

Lawrence Carin earned the BS, MS, and PhD degrees in electrical engineering at the University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989 he joined the Electrical Engineering Department at Polytechnic University (Brooklyn) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical and Computer Engineering (ECE) Department at Duke University, where he is now a Professor. He was ECE Department Chair from 2011-2014, the Vice Provost for Research from 2014-2019, and since 2019 he has served as Duke's Vice President for Research. From 2003-2014 he held the William H. Younger Distinguished Professorship, and since 2018 he has held the James L. Meriam Distinguished Professorship. Dr. Carin's research focuses on machine learning (ML), artificial intelligence (AI) and applied statistics. He publishes widely in the main ML/AI conferences, and he has also engaged in translation of research to practice. He was co-founder of the small business Signal Innovations Group, which was acquired by BAE Systems in 2014, and in 2017 he co-founded the company Infinia ML. He is an IEEE Fellow.

Appointments and Affiliations

  • Professor of Electrical and Computer Engineering
  • Professor of Computer Science

Contact Information

  • Office Location: 119 Allen Building, Durham, NC 27708
  • Office Phone: (919) 681-6436
  • Email Address:
  • Websites:


  • B.S.E. University of Maryland, College Park, 1985
  • M.Sc.Eng. University of Maryland, College Park, 1986
  • Ph.D. University of Maryland, College Park, 1989

Research Interests

Applied statistics and machine learning

Awards, Honors, and Distinctions

  • Fellows. Institute for Electrical and Electronics Engineers. 2001

Courses Taught

  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 891: Internship
  • POE 505: Winter Breakaway

In the News

Representative Publications

  • Dov, David, Danielle Elliott Range, Jonathan Cohen, Jonathan Bell, Daniel J. Rocke, Russel R. Kahmke, Ahuva Weiss-Meilik, et al. “Deep-Learning-Based Screening and Ancillary Testing for Thyroid Cytopathology.” Am J Pathol 193, no. 9 (September 2023): 1185–94.
  • Zhang, Hao, Chaojie Wang, Zhengjue Wang, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, and Lawrence Carin. “Learning Hierarchical Document Graphs From Multilevel Sentence Relations.” IEEE Trans Neural Netw Learn Syst 34, no. 8 (August 2023): 4273–85.
  • Luo, D., H. Xu, and L. Carin. “Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence 45, no. 6 (June 1, 2023): 7293–7307.
  • Assaad, Serge, David Dov, Richard Davis, Shahar Kovalsky, Walter T. Lee, Russel Kahmke, Daniel Rocke, et al. “Thyroid Cytopathology Cancer Diagnosis from Smartphone Images Using Machine Learning.” Mod Pathol 36, no. 6 (June 2023): 100129.
  • Chapfuwa, Paidamoyo, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen J. Chandross, Michael J. Pencina, Lawrence Carin, and Ricardo Henao. “Calibration and Uncertainty in Neural Time-to-Event Modeling.” IEEE Trans Neural Netw Learn Syst 34, no. 4 (April 2023): 1666–80.