Professor, Mathematics
School of Mathematical and Physical Sciences University of New England
11 Hills Beach Rd. |

I recently had the opportunity to work on a very neat data science project. We used historical data on weather, soil composition, and crop yields from a dozen farms over a decade and employed a number of regression and classification methods (linear, tree-based, and neural nets) to predict future yield.

Coding was done in Python using Jupyter Notebooks and the following packages:

NumPy, Pandas, GeoPandas, GDAL, MatPlotLib, Pillow, and Scikit-Learn

This gave me the opportunity to not only learn some fun packages but to also communicate regularly with some very smart folks doing important agronomy work advising farmers on fertilizer treatment plans. I learned some feature reduction and hyperparameter tuning methods, and in general learned a lot about the process of working with data for good.

I am also interested in applications of genetic algorithms. I recently completed a collaborative project using genetic algorithms to predict game values of impartial combinatorial games.

School of Mathematical and Physical Sciences University of New England
11 Hills Beach Rd. |

Most likely, yes! As long as I’ve gotten to know you well outside of class **and** one of the following is true:

- You’ve taken multiple classes with me and done very well
- You’ve taken a single class, done exceptionally well
- You’ve worked on research with me

When I serve as a reference, I’m putting my own reputation out there in support of your potential success. If I don’t know you well enough to bet my reputation on you, then we may have an awkward conversation. Please keep this in mind before asking.

**What do you need to do?**

- Send me an email with your intended program/job/experience, along with due dates for my letter
- Include why you want to pursue the opportunity, why I’m a good reference for you, and good things I can say about you
- Remind me what grades you received in classes with me, and which of the three options above applies to you

**What next?
**I need a follow-up! Let me know if you were accepted and what your plans are! This part makes me happy.

Fall of 2022 I am teaching Calculus I and Discrete Mathematics.

Mathematics for Liberal Arts

College Algebra

Math Applications for Management

Precalculus

Calculus I, Calc II, Calc III

Discrete Mathematics, Intro to Proofs

Graph Theory with Applications

Geometry (Euclidean and non-Euclidean)

Modern Algebra

Topology

Real Analysis

Complex Analysis

Network ecology (team-taught)

Mathematics research seminar

The Math of Games and Puzzles

College Algebra

Math Applications for Management

Precalculus

Calculus I, Calc II, Calc III

Discrete Mathematics, Intro to Proofs

Graph Theory with Applications

Geometry (Euclidean and non-Euclidean)

Modern Algebra

Topology

Real Analysis

Complex Analysis

Network ecology (team-taught)

Mathematics research seminar

The Math of Games and Puzzles

Machine Learning

I believe that mathematics is best taught by motivating curiosity. When we want to know more, we are willing to put in the work to learn. If I can encourage excitement and inquiry about a topic then teaching and learning are fun, and we all look forward to more of it. I’ve found that curiosity is supported by depth into the foundations of a topic, rather than a cursory explanation. Once students see how exciting and creative the process of mathematics is, they engage with it in a way that anchors real understanding.I’m a strong advocate for active learning methods and I use a lot of Inquiry-Based Learning in my classes.

I received my MA in Mathematics from the University of Colorado, in Boulder, CO. I then took some time off from school, started a family, and taught in North Dakota and California. I received my Ph.D. in Applied Mathematics from the University of Colorado Denver under the direction of Mike Jacobson.

I have been in Maine since 2010, where I am a Professor in the School of Mathematical and Physical Sciences at the University of New England. I teach classes in and out of the major and minor in Applied Mathematics, engage in research, and work at all levels of college and university service.

I like to rock climb indoors, hike, and cook. I will gladly talk too long about any of these things.

My primary research area is Graph Theory, in particular Graph Saturation, resolving sets, and applications of Graph Theory in modeling. I am also interested in the connections between Graph Theory/Network Science and social networks.

Combinatorial Games are usually two-player pure strategy games with perfect information (no dice or hidden cards). I study mostly impartial combinatorial games.

Kyle Burke, Ph.D. and I wrote a book on Combinatorial Game Theory and Discrete Mathematics.

I have had the pleasure of working with the following research collaborators:

Kyle Burke, Carrie J. Byron, Michael Ferrara, Michael Fisher, Breanna Flesch, Matthew Ferland, Jeri L. Fox, Valentin Gledel, Silvia Heubach, Cameron Hodgdon, Melissa A. Huggan, Michael S. Jacobson, Woon Yuen Koh, Jessica McDonald, Kevin Milans, Richard J. Nowakowski, Gregory J. Puleo, James Quinlan, James Sulikowski, and Paul Wenger.

I am always looking for UNE students willing to learn about and work with me on research projects. Please get in touch!

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