MGB-SIAM Early Career Fellows

By Zachary Kilpatrick
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The MGB-SIAM Early Career Fellowship recognizes the achievements of early career applied mathematicians belonging to racial and ethnic groups historically excluded from the mathematical sciences in the US. This year, ten fellows were awarded fellowships providing complementary SIAM membership and waived registration fees and travel support for the SIAM Annual Meeting each year as well as one other conference. We would like to add our congratulations and note that over the next year, we plan to feature articles from a few fellows with research interests in dynamical systems.

Keisha Cook

Clemson

Keisha's research includes simulating the processes occurring inside of cells using mathematical models and developing methodologies to statistically analyze the underlying mechanisms of the cell cytoplasm. Her work employs methods from particle tracking and intracellular dynamics.


Kyle Dahlin

U. Georgia

Kyle's research primarily focuses on using mathematical models to understand how ecological interactions impact the transmission of mosquito-borne pathogens, employing methods from bifurcation and sensitivity analysis.


Ranthony Edmonds

Ohio State

Ranthony's research include commutative ring theory, applied algebraic topology, data science, and mathematics education. She has recently broadened her research program to applied mathematics and aims to study gerrymandering and electoral redistricting using topological data analysis and metric geometry. She is also completing the first comprehensive study of Black mathematicians at a single United State institution (Ohio State).


Samy Wu Fung

Colorado School of Mines

Samy's research interests lie in the intersection of applied mathematics and data science. In particular, he is interested in inverse problems, optimization, and deep learning. Some of his recent work uses machine learning techniques to analyze strategies for high-dimensional mean-field games.


Nicole D. Jackson

Sandia

Nicole's current research focuses on the resiliency of critical infrastructure to extreme weather events and natural hazards, with an emphasis on renewable energy, water resources, and the electric grid. She is excited to share her experience as an early career technical professional with the SIAM community.


Reginald L. McGee

Holy Cross

Reginald's research program considers questions in immunobiology through modeling and data analysis. In recent years, he has been specifically interested in blood diseases including leukemia and sickle cell disease, using modeling and statistical analysis to better understand the nonlinear relationships within cytometry data.


Iván Ojeda-Ruiz

Texas State

Iván is mainly interested in numerical linear algebra with applications in image processing and data clustering. His recent work focuses on facial recognition and video surveillance using dynamic mode decomposition as well as robust principal component analysis and low rank recovery.


Joan Ponce

UCLA

Joan's primary research interests include dynamical systems, bifurcation analysis, parameter estimation, geospatial modeling, and optimal control. Some of her recent work has focused on the impact of age-structured control strategies (e.g., age group dependent lockdown releases) on epidemic spread.


Ludovic Tangpi

Princeton

Ludovic's research interests include stochastic analysis and mathematical finance. In particular, he has developed theory for stochastic control of stochastic differential equations and large population games in the context of finance and trading.


Oyita Udiani

Virgina Commonwealth

Oyita's research has focused on complex adaptive systems, ecology, public health, and collective behavior. Some of his recent work uses agent-based models to quantify how territoriality in social insects can reduce disease transmission. He is passionate about engaging minoritized communities in mathematics.

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