Meet Braden Loughnane

Braden Loughnane graduated this Spring with his master's degree in mathematics. Due to his excellent record in our program, he was selected to carry the Division of Science flag during the division's commencement program. Braden will continue his education in pursuit of a PhD at the University of Maryland.

Congratulations, Braden!

Below is more about Braden's experience at CCNY in his own words:

I graduated from the University of Michigan College of Engineering with a major in computer science and a minor in mathematics before working for two years as a software engineer in New York City. Curious about the mathematical foundations of machine learning, I was eager to return to an academic setting and pursue a career in research, but I lacked experience and certainty about my area of interest.

I applied to the program hoping to deepen my mathematical training, gain research experience, narrow my research focus, and prepare a strong application for Ph.D. programs.

Thanks to the master’s program and especially the mentorship of Prof. Chatterjee throughout my research and application process, I was admitted to a Ph.D. program in mathematical statistics at the University of Maryland, where I will begin this fall. My research will focus on statistical inference and deep learning theory.

I am also very grateful for the Rich Scholarship, which has supported me financially during the academic year as well as through two summer research internships. For the past year, I have conducted research on graph neural networks and community detection in sparse attributed graphs with Prof. Chatterjee. This summer, I will be working with Prof. Sánchez-Muñiz on topological data analysis with applications in climate modeling.

I have developed tremendously as a student of mathematics through the master’s courses and have enjoyed meeting and sharing ideas with my peers in the program. Prof. Amzallag’s courses in modern algebra and stochastic calculus were especially insightful. I also enjoyed taking an additional course in ergodic theory at the CUNY Graduate Center this semester.

I cannot overstate how grateful I am for the opportunities the CCNY Department of Mathematics has given me. I look forward to continuing my education and beginning a career in academic research, a path that may not have been possible without the support of the program.

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