From Set Theory To Self-Driving Cars

By Zachariah Tyree, PhD (Research Scientist at General Motors R&D) ~ I have a PhD in Pure Mathematics. A common sentiment within this field is that Pure Mathematics sits somewhere above Applied Mathematics and quite a distance above other scientific disciplines. The ranking is even implicit in the name “Pure Mathematics”, as opposed to “Adulterated... Continue Reading →

A Winding Path from Complex Analysis to Computational Biology

by Robert Thurman, Principal Computational Biologist,   Seattle Genetics, Bothell, WA ~ Computational biologists come in two types: those who were originally trained mathematically or computationally and then gravitated towards biological problems, and those who were formally trained on the biological side but couldn’t stay away from computers. That generalization is slightly dated, because many colleges... Continue Reading →

How I became a Data Scientist

by Bolor Turmunkh, PhD, Data Scientist at Uptake Technologies Inc., Chicago, IL ~ First Steps At the beginning of my fifth year of graduate school at the University of Illinois, with thoughts of impending graduation, I started thinking for perhaps the first time in my life about who I wanted to be. I had lived... Continue Reading →

NSF-IPAM Workshop – 2017 UPDATE

SUMMARY RECOMMENDATIONS NSF-IPAM Mathematical Sciences Internship Workshop Full report available here.  (UPDATES IN BLUE ITALICS) The report above reflects discussions and recommendation from the September 1-2, 2015 NSF-IPAM Mathematical Sciences Internship Workshop held at the Institute for Pure and Applied Mathematics (IPAM) at UCLA. The workshop was organized by Russel Caflisch, Mathematics, UCLA; Alan Lee,... Continue Reading →

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