Daniel McDonald is an accomplished mathematician and lead developer at Wolfram, responsible for leading the synthetic geometry project of Mathematica since January 2018. McDonald's expertise includes constrained optimization techniques, exemplified by the creation of the geometric constraint solver RandomInstance[]. Previously, McDonald served as a Wolfram Language Specialist at Wolfram|Alpha LLC, contributing to various mathematical computations, and conducted research on data reconciliation algorithms at SPAWAR. Educationally, McDonald holds a Ph.D. and a Master's degree in Mathematics from the University of Illinois Urbana-Champaign, along with a Bachelor of Arts in Mathematics from Carleton College. Throughout an extensive academic career, Daniel has led classroom sessions and solved complex problems in graph theory, resulting in multiple publications and conference presentations.
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