Research

I am an applied mathematician working at the intersection of network and graph theory, optimization, numerical analysis, and machine learning. A recurring theme in my work is modulus of families of objects, a flexible framework connecting classical potential theory to modern problems in graphs and networks.

Publications

A few selected papers are highlighted below. My complete, continuously updated list is available on Google Scholar and ORCID.

Grants

Selected externally funded research grants.

Years Project Role Source Award
2025–2031 NSF EPSCoR Graduate Fellowship Program (EGFP) for K-State Math Co-PI NSF $1,431,000
2025–2028 MS in Statistical and Mathematical Intelligence and Learning Co-PI AIF Development Grant $98,000
2022–2025 Interactions among Analysis, Optimization, and Network Science Co-PI NSF Analysis $370,892
2021–2024 Novel Decompositions and Fast Numerical Methods for Peridynamics Co-PI NSF Applied Mathematics $241,000
2018–2022 RII Track-2 FEC: Field-Based Ecophysiological Genome-to-Phenome Prediction Co-PI NSF $4,000,000
2016–2018 PAPM EAGER: Wheat Phenome/Genome Sensing via Microwave Scattering Inversion Co-PI USDA $102,000
2015–2018 p-Modulus on Networks with Applications to the Study of Epidemics PI NSF Applied Mathematics $504,567
2015–2017 Collaborative Research: Prairie Analysis Seminar Co-PI NSF Conference Grant $33,320
2012–2013 MIMO Radar Clutter Modeling PI AFOSR STTR (Phase I) $30,000
2006–2009 NSF Postdoctoral Research Fellowship PI NSF $108,000