You are here

Lawrence Carin


James L. Meriam Distinguished 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 Engineering Department at Duke University, where he is now a Professor, and Vice Provost for Research. From 2003-2014 he held the William H. Younger Distinguished Professorship, and he was ECE Department Chair from 2011-2014. Dr Carin's early research was in the area of electromagentics and sensing, and over the last 15 years his research has moved to applied statistics and machine learning. He has recently served on the Program Committee for the following machine learning conferences: International Conf. on Machine Learning (ICML), Neural and Information Processing Systems (NIPS), Artificial Intelligence and Statistics (AISTATS), and Uncertainty in Artificial Intelligence (UAI). He was previously an Associate Editor (AE) of the IEEE Trans. on Antennas and Propagation, the IEEE Trans. on Signal Processing, and the SIAM J. of Imaging Science. He is currently an AE for the J. of Machine Learning Research. He is an IEEE Fellow.

Appointments and Affiliations

  • James L. Meriam Distinguished Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Computer Science
  • Professor of Statistical Science
  • Member of the Duke Clinical Research Institute

Contact Information

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


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

Research Interests

Applied statistics and machine learning

Awards, Honors, and Distinctions

  • Fellows. Institute for Electrical and Electronics Engineers. 2001

Courses Taught

  • CEE 780: Internship
  • COMPSCI 391: Independent Study
  • COMPSCI 393: Research Independent Study
  • COMPSCI 394: Research Independent Study
  • ECE 291: Projects in Electrical and Computer Engineering
  • ECE 891: Internship
  • ECE 899: Special Readings in Electrical Engineering
  • EGR 190: Special Topics in Engineering
  • EGR 590: Special Topics in Engineering
  • POE 190: Practice Oriented Education
  • POE 790: Practice Oriented Education
  • STA 393: Research Independent Study
  • STA 493: Research Independent Study
  • STA 993: Independent Study

In the News

Representative Publications

  • Engelhard, MM; Oliver, JA; Henao, R; Hallyburton, M; Carin, LE; Conklin, C; McClernon, FJ, Identifying Smoking Environments From Images of Daily Life With Deep Learning., Jama Network Open, vol 2 no. 8 (2019) [10.1001/jamanetworkopen.2019.7939] [abs].
  • Ting, DSW; Carin, L; Abramoff, MD, Observations and Lessons Learned From the Artificial Intelligence Studies for Diabetic Retinopathy Screening., Jama Ophthalmology (2019) [10.1001/jamaophthalmol.2019.1997] [abs].
  • Carlson, D; Carin, L, Continuing progress of spike sorting in the era of big data., Current Opinion in Neurobiology, vol 55 (2019), pp. 90-96 [10.1016/j.conb.2019.02.007] [abs].
  • Chen, C; Wang, W; Zhang, Y; Su, Q; Carin, L, A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC, Science China Information Sciences, vol 62 no. 1 (2019) [10.1007/s11432-018-9656-y] [abs].
  • Cong, Y; Zhao, M; Bai, K; Carin, L, Go gradient for expectation-based objectives, 7th International Conference on Learning Representations, Iclr 2019 (2019) [abs].