Position: 
Associate Professor
Address: 
Harold S. Mohler Laboratory
200 West Packer Avenue
Bethlehem, PA 18015
Room 479

Phone Number: 
610-758-4039
Daniel Robinson

Areas of Research

Computational Optimization
Machine Learning
Data Science
Computer Vision Applications

Profile

Daniel earned his Ph.D. in Mathematics from the University of California, San Diego. He has previously served as a Postdoctoral Researcher at Oxford University, a Postdoctoral Researcher and Visiting Professor at Northwestern University, and most recently as an Assistant Professor at Johns Hopkins University.

Daniel works at the intersection of Mathematical Optimization and Data Science. His broad research interests include Optimization, Operations Research, and Data Science. He designs, analyzes, and implements algorithms for solving continuous optimization problems arising in applications for healthcare and computer vision.

His articles have appeared in top applied mathematics journals, such as Mathematical Programming and SIAM Journal on Optimization, as well as in top data science conference proceedings, such as for the International Conference on Machine Learning and IEEE Conference on Computer Vision and Pattern Recognition. He is already an Associate Editor for a reputed journal, Computational Optimization and Applications.

Daniel was a founding member of Johns Hopkins' Mathematical Institute for Data Science (MINDS) and helped to establish JHU's Master of Science in Data Science program. He has received multiple teaching awards during his time at JHU, including twice winning their Professor Joel Dean Award for Excellence in Teaching. He has been awarded numerous grants from the National Science Foundation and other funding agencies.

Education

Ph.D., Mathematics, University of California, San Diego