I see a large part of my work in education as helping my students achieve socioeconomic mobility. Since my early childhood, I've had a fixation on financial stability, so I've spent thousands of hours learning about every financial system I could: credit/debt, the stock market, retirement savings, and budgeting tools. In particular, I love connecting these ideas to mathematics, as I personally see math in every aspect of my day-to-day life, and want us all to be able to do so (because it's such a powerful and flexible tool! Never mind the fact that it's also a beautiful and expressive art form [huh?])
For the first half of my undergraduate studies, I had no idea what graduate school was. My personal experience
In this blog series, I focus on what STEM graduate students (working on an MS, MA, or PhD) can do during their grad program in order to be more competitive applicants for full-time community college positions.
Surviving Graduate School for Teaching-Oriented Grads
Masters or PhD? Does it matter for CC teaching? (finances, experience for job market/interviews, etc.)
Common Misconception: Full-Time, Tenure-Track Community College Professor positions are “easier” to get than TT positions at 4 year universities. (this is not the case! We are looking for a different skill set!)
At this stage of my career, I no longer emphasize mathematical research publications through traditional publishing journals (feel free to ask me why!). However, if you're curious about the quality of work that helped me get to where I am in life, I share the work below in order to help you get a sense of roughly what's expected of a graduate student looking to earn a PhD (in Applied Mathematics). Keep in mind that this body of work may seem lengthy and highly technical, but you bite it off one day at a time over the course of many years! Suddenly, you end up on the other side as a bona fide expert in whatever topic interests you.
E. Moore. Noisy Signal Correlation and Neural Network Pruning. UC Davis - Dissertation, 2023.
D. J. Katz, E. Moore. Sequence Pairs with Lowest Combined Autocorrelation and Crosscorrelation. IEEE Transactions on Information Theory, 2022.
E. Moore, R. Chaudhuri. Using Noise to Probe Recurrent Neural Network Structure and Prune Synapses. Advances in Neural Information Processing Systems 2020. (Spotlight)