Julia Coxen receives Officer Research Fellowship in Mathematics
U-M PhD student and active-duty colonel, Julia Coxen, has received an Omar N. Bradley Officer Research Fellowship in Mathematics.
Julia Coxen, U-M Industrial and Operations Engineering PhD student and an active-duty colonel in the U.S. Army, has received an Omar N. Bradley Officer Research Fellowship in Mathematics.
The Omar N. Bradley Foundation was founded in honor of the Army General of the same name, who had a well-documented, lifelong passion for mathematics.
“I am humbled to receive this distinction in honor of GEN Bradley, whom I admire for his intelligent leadership and legacy of public service,” said Coxen.
“I am humbled to receive this distinction in honor of GEN Bradley, whom I admire for his intelligent leadership and legacy of public service.”
Julia Coxen
PhD Student, U-M Industrial & Operations Engineering
The award is granted annually to ten active-duty officers, of any branch, that are actively engaged in the study of Mathematical Sciences. Final recipients are decided upon by a faculty board from the U.S. Military Academy at West Point’s Department of Mathematical Sciences, who vote on applications and then make recommendations to the Board of Governors of the Omar N. Bradley Foundation.
Coxen plans to use the fellowship to continue her pursuit in combating the global problem of human trafficking through risk analysis and data-driven approaches.
“I am very pleased that this fellowship shines a light on the problem of human trafficking,” said Coxen. “It is a devastating global problem and I hope this research will help fight the prevalence of trafficking in a meaningful way.”
Coxen has held various military leadership positions from platoon leader to battalion commander in locations as far as South Korea to North Carolina to Afghanistan. She also served as an assistant professor in the Department of Systems Engineering at the U.S. Military Academy where she will return to teach upon completion of her studies. Her research interests include risk analysis, data analytics, machine learning, and network analysis.