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Recent/Upcoming News and Travel
04/02/2024: I will have my preliminary examination.
03/21/2024: I gave a poster session at MaRDA about my ongoing research with Safak Callioglu on ML methods to discover complex nanoparticle architectures.
01/24/24-02/13/24: I was visiting Courant.
12/20/23: Kyrie Johnson and I were awarded a Professional Development Grant by Duke's Graduate School in the amount of $1,984 to support our "Mentoring in Math" initiative during the 2024 calendar year.
10/30/23-11/09/23: I was visiting Courant.
10/16/23: My undergraduate research from SMALL was published in the European Journal of Mathematics.
9/11/23: A pre-print of my co-first authored paper, "Unsupervised Ensembling of Multiple Software Sensors with Phase Synchronization: A Robust approach For Electrocardiogram-derived Respiration," is up on the Arxiv.
ABOUT ME
ABOUT ME
Welcome! In 2021, I began my graduate studies in the math department at Duke University advised by Prof. Hau-Tieng Wu (who is primarily at New York University's Courant Institute of Mathematical Sciences), where I am supported as an NSF Graduate Research Fellow and as an NSF aiM Trainee and Fellow. I am interested in developing tools in manifold learning and high-dimensional data analysis, particularly those with applications in medicine and materials science. Additionally, I am interested in understanding the random matrices which naturally appear in geometric algorithms on data.
I am also participating in the Certificate in College Teaching and Certificate in Innovation and Entrepreneurship.
Before Duke, I completed my undergraduate degree in the math department at Boston College, where I was supported as a Gabelli Presidential Scholar.
For more details on my academic history, see the CV page.
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