I am a doctoral candidate in the Division of Applied
Mathematics at Brown University. My primary research interests include applied toplogy and utilizing methods from topological
data analysis to study dynamical systems and biological phenomena. I am also interested in machine learning applications.
My research advisor is Björn Sandstede, and I am co-advised by Andrew Blumberg at the University of Texas at Austin. I am a recipient of the National Science Foundation GRFP award. Prior to coming to Brown, I recieved my B.A. degree in mathematics from the College of the Holy Cross, where I was advised by David Damiano.
Currently, I serve as President of the Brown University Chapter of SIAM, I co-organize the Applied Topology and Geometry Seminar at Brown, I co-organize the Horizons Reading Group, "Are We Putting Too Much Faith in Math?", and I serve as the one of the Faculty Graduate Student Liaisons for the Division of Applied Mathematics. Additionally, I participate in the Math CoOp at Brown University.
Melissa R. McGuirl
Room 209, 170 Hope Street
melissa_mcguirl at brown dot edu
Division of Applied Mathematics
Brown University, Box F
182 George Street
Providence, RI 02912
News and Events
Instructor of Applied Ordinary Differential
I am teaching APMA 0350: Applied ordinary differential equations at Brown University for the 2018 summer session.
TRIPODS Summer Bootcamp: Topology and
Machine Learning at ICERM
I am co-organizing this TRIPODS workshop on Topology and Machine learning at ICERM. The workshop will consist of a hands-on tutorial and mini research conference.
Tutorial on Multiparameter Persistence, Computation, and
Applications at the IMA
I was invited to participate in this tutorial, aimed at early-career researchers, which will cover multiparameter persistence and its applications.
Invitation to speak at the SIAM Central
States Section Meeting in Norman, Oklahoma
October 5-7, 2018
I was invited to speak at the Applied Topology mini-symposium at the SIAM Central States Section, which will focus on connections between computational topology, robotics, data analysis, machine learning, and dynamical systems.
SE and SnL Diagrams:
Structures for MIR (Music
This paper in collaboration with Katherine Kinnaird, Claire Savard, and Erin Bugbee has been accepted for publication in the Proceedings of the 19th ISMIR conference.
A Topological Analysis of Targeted In-111 Uptake in SPECT Images of Murine Tumors
This paper in collaboration with David Damiano (College of the Holy Cross) has been published in the Journal of Mathematical Biology.
Contributed Talk Accepted to the Advancing Women's Impact in Mathematics Symposium at WPI
I spoke on "A Topological Analysis of Model Sensitivity and Classification for Pattern Formation on Zebrafish" at the 2018 Advancing Women's Impact in Mathematics Symposium (AWIMS) at WPI.
The Applied Topology and Geometry Seminar
Elchanan Solomon and I co-organize this seminar which hosts a variety of speakers whose research lies at the intersection of geometry and topology with data science or other fields. We are generously funded by the Data Science Initiative at Brown.
Are we putting too much faith in math?
Sunny Yang Xiao and I co-organize this Horizons reading group which focuses on investigating and reflecting on the social impact of mathematical and computational research. We are generously funded by the Women and Mathematics Program at IAS.
Math CoOP Presentation:
Graph Theory for Kids
As a member of The Math CoOp at Brown, I help to come up with new and fun ways to present mathematics to all grade levels. Based on work by Joel David Hamkins , I created a presentation on graph theory for elementary school students. Feel free to take it for your own use!