Alexander Stanoyevitch was born in New York, and grew up in Maryland in the suburbs
of Washington DC. His parents emigrated to the US from Europe. During the Korean War, his father was a captain in the US ARMY, serving on the staff of General Douglas MacArthur, and then later worked for 25 years as an economist for the US Department of Commerce.
Alexander graduated summa cum laude and with High Honors from the University of Maryland-College Park,
earning a BS degree in mathematics and a minor in physics. Before going on to the PhD program at
the University of Michigan-Ann Arbor, he spent a semester at La Sorbonne in Paris where he earned a
Certificat Élémentaire de la Language et la Civilisation Française. At Michigan,
he was a Regents Fellow and a Rackam Predoctoral Fellow.
Through a special award (Strauss Undergraduate Teaching Fellow), Stanoyevitch began teaching recitation sections of calculus and precalculus during
his undergraduate years, and was selected by his professors to deliver their large lectures during their absences. As a graduate student in Ann Arbor, he taught his own calculus classes and won the University of Michigan Outstanding Graduate Teaching Award.
After enduring several (very) cold winters in Ann Arbor, Dr. Stanoyevitch moved on to much balmier climates. His first postdoctoral position
was at the University of Hawaii-Manoa, where his teaching involved primarily traditional and pure mathematics courses. The mathematics department at
the University of Hawaii nominated Stanoyevitch for a University oustanding teaching award. Throughout his teaching career, Dr. Stanoyevitch has
always been very interested in applied mathematics, and he subsequently moved on to accept a position at the
University of Guam, where he was the faculty member responsible for teaching the numerical and
applied mathematics courses. It was at this latter position where Stanoyevitch learned MATLAB (previously
he had worked with Mathematica and MAPLE). He now incorporates MATLAB into most all of the mid- through upper-level courses that he teaches, and this
has added many new dimensions to the courses he teaches. In addition to greatly expanding the scopes of his courses, the incorporation of MATLAB also
provides his students with a tremendous competitive edge in the marketplace by making them proficient in a computing environment that is widely used in industry.
In 2005, Dr. Stanoyevitch relocated back to the mainland; he currently works at California State University-
Dominguez Hills. He has made extended research visits and given invited lectures at numerous venues in the US, Europe, and Asia. Lately, he has become quite interested in Statistics, Data Science, and, in particular Machine Learning. In 2012 he spent his spring semester on Sabbatical visiting Stanford's Statistics Department, and the following year he was invited back to teach a upper undergraduate/graduate-level course in mathematical statistics. He was invited back again the next year with an offer to teach the same course. This offer to return was even more tempting, not least since the course would be the same, and all of the ardous preparations for it had already been completed (so more time could be spent on research during the visit). But an opportunity for a very different sort of adventure came calling that was too difficult to resist--see the bicycling page.
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