Texas A&M University Central Texas - Mathematics
Data Scientist at Antuit
Geoff
Diestel, PhD
Sherwood, Oregon
- 1 yr experience in Data Science
- 19 years experience in Higher Education.
- 7 years experience in the creation of partially online BS and MS mathematics program in Texas A&M System.
- Award winning researcher and teacher.
- Experienced in the design, assessment, and delivery of online, online-hybrid, and traditional mathematics education.
- Passionate about problem solving and teaching others to enhance their critical thinking skills.
- Experienced Analyst and Data Analyst with Consulting experience in Data Science and Machine Learning.
- Experienced with Python, R, C++, SQL, Matlab, and Excel.
- Advanced knowledge of a broad range of applied and pure mathematics.
Doctor of Philosophy (PhD)
Mathematics
Taught a variety of mathematics courses for math, business, science, and engineering students while working on dissertation which was partially funded by the NSF.
BS with honors
Mathematics
As a varsity athlete and a mathematics major, one does not have time for much else. However, one learns how manage time most efficiently. During my senior year, I was admitted into the graduate school to begin graduate work in mathematics while finishing my Bachelor's degree. While playing varsity baseball, I was a full-time student and fully funded graduate assistant teaching one undergraduate course per semester.
Commun. Math. Analysis
Commun. Math. Analysis
Nagoya Math. J.
This gives a nontrivial extension of a counter-example of C. Fefferman for convergence of Fourier series in multiple dimensions.
Commun. Math. Analysis
Nagoya Math. J.
This gives a nontrivial extension of a counter-example of C. Fefferman for convergence of Fourier series in multiple dimensions.
Journal of Mathematical Analysis and Applications
Commun. Math. Analysis
Nagoya Math. J.
This gives a nontrivial extension of a counter-example of C. Fefferman for convergence of Fourier series in multiple dimensions.
Journal of Mathematical Analysis and Applications
Canadian Mathematical Bulletin
A compactness argument is used to show how Nikishin's factorization theorem gives a more specific conclusion for operators with values in a weak-type Lebesgue space.
Commun. Math. Analysis
Nagoya Math. J.
This gives a nontrivial extension of a counter-example of C. Fefferman for convergence of Fourier series in multiple dimensions.
Journal of Mathematical Analysis and Applications
Canadian Mathematical Bulletin
A compactness argument is used to show how Nikishin's factorization theorem gives a more specific conclusion for operators with values in a weak-type Lebesgue space.
Journal of Functional Analysis
This article generalizes a result of Nikishin on factoring sublinear operators. It is shown that many bilinear operators have convex ranges despite the fact that their codamains are not.
Commun. Math. Analysis
Nagoya Math. J.
This gives a nontrivial extension of a counter-example of C. Fefferman for convergence of Fourier series in multiple dimensions.
Journal of Mathematical Analysis and Applications
Canadian Mathematical Bulletin
A compactness argument is used to show how Nikishin's factorization theorem gives a more specific conclusion for operators with values in a weak-type Lebesgue space.
Journal of Functional Analysis
This article generalizes a result of Nikishin on factoring sublinear operators. It is shown that many bilinear operators have convex ranges despite the fact that their codamains are not.
Journal of Mathematical Analsysis and Applications
Commun. Math. Analysis
Nagoya Math. J.
This gives a nontrivial extension of a counter-example of C. Fefferman for convergence of Fourier series in multiple dimensions.
Journal of Mathematical Analysis and Applications
Canadian Mathematical Bulletin
A compactness argument is used to show how Nikishin's factorization theorem gives a more specific conclusion for operators with values in a weak-type Lebesgue space.
Journal of Functional Analysis
This article generalizes a result of Nikishin on factoring sublinear operators. It is shown that many bilinear operators have convex ranges despite the fact that their codamains are not.
Journal of Mathematical Analsysis and Applications
Positivity
A characterization of isometries of Sobolev spaces over bounded domains. In the non-Hilbert space case, the group of isometries of these spaces are essentially equivalent to subgroups of permutations on n letters where n is the dimension of the underlying domain.