Cory N. Brown

A mathematician's abstraction and logic,
a physicist's intuition and spatial reasoning,
an engineer's problem solving and brainstorming,
with a thirst to discover knowledge,
in our heaping piles of data.

I am uncertain, but I have an open mind and I learn new things every day.

I like to think of my research as divided into two parts: mathematical theory and domains of application. In particular, I am interested in creating new mathematics that is inspired by and useful in application. My main areas of application are chemical reaction networks, brain networks, and models of computation. Mathematically, most of my motivation comes from spectral operator theory for dynamical systems and graphs - I am fascinated by the study of time-varying networks. Finally, I find it important to develop user friendly software for my algorithms; due to this, I am learning to write them into C libraries for implementation in Python.

Although I am primarly interested in a creative academic style of research, I highly value the organization and communication techniques of industry. Additionally, as an academic offspring of Professor Igor Mezic, I believe that data is king and recognize that there is just as much if not more interesting data related problem solving in industry. Thus, I would like to walk the line of academia and industry with a primary focus on postdoctoral positions and a secondary focus on machine learning engineering positions.

Professional details:

My research philosophy has been influenced by:

As an observationalist, Igor taught me that data is king; even Newton's laws were discovered by watching objects fall. Additionally, I learned from Igor that unexpected results or analysis that initially seems problematic may in the end be a feature that could be leaveraged to our advantage in application. Finally, Igor is a role model when it comes to filling your time with the actions that you believe will most benefit society.

Hassan taught me the significance of positive and friendly workplace culture and trade offs between presicion and intuition.

Jason taught me how to think like a scientist and how to work with collaborators in vastly different fields.

Roberto taught me how to be friendly to everyone and the importance of working with people new to my field - they provide an unbiased and unique pespective on my work

Steve taught me the importance of aligning my own personal goals and interests with that of my colleagues for arriving at win-win scenarios. He also helped me realize the benefits of managers treating their employees as collaborators rather than those lower in the hierarchy.