David I Shuman

David I Shuman is a Professor of Data Science and Applied Mathematics at Olin College of Engineering. He holds a Ph.D. and M.S. in Electrical Engineering: Systems from the University of Michigan, and additional M.S. degrees in Applied Mathematics and Engineering-Economic Systems & Operations Research from Stanford University.

• Education:
  • Ph.D., Electrical Engineering: Systems, University of Michigan, Ann Arbor (2010)
  • M.S., Applied Mathematics, University of Michigan, Ann Arbor (2009)
  • M.S., Electrical Engineering: Systems, University of Michigan, Ann Arbor (2006)
  • M.S., Engineering-Economic Systems & Operations Research, Stanford University (2001)
  • B.A., Economics with Minor in Computer Science, Stanford University (2001)
• Research Interests:
  • Signal processing on graphs
  • Ranked choice voting
  • Numerical linear algebra
  • Stochastic scheduling and resource allocation
  • Applications in energy, social, biological, and sensor networks, machine learning, medical imaging, genetics, and astrophysics

  His work focuses on developing graph-based signal processing tools for high-dimensional data, enabling advancements in data compression, statistical analysis, and machine learning regularization.

• Scientific Awards:
  • 2016 IEEE Signal Processing Magazine Best Paper Award
  • Mathematical Association of America Project NExT Fellow (2014-2015)
  • University of Michigan College of Engineering Distinguished Achievement Award (2010)
• Teaching:
  • Quantitative Engineering Analysis (QEA)
  • Probabilistic Modeling (ProbMod)