Fellows

Daniel is generally interested in using dynamical systems and PDEs to model population dynamics. His current research focuses on models of multilevel selection and evolutionary game theory, as well as understanding collective behavior and pattern formation in ecological and social systems.

Dr. Gomez  applies techniques from analysis, partial differential equations, and scientific computing to study pattern-forming phenomena in reaction diffusion systems.

Dr. Kim has broad interests in modeling biological systems for mathematical problems in stochastic processes, partial differential equations, and optimization. He has studied intercellular signaling via cellular protrusions, and mitochondrial dynamics in controlling cell conditions.

Alex’s research interests lie primarily in the evolution of prosocial behaviors, asymmetric games, and pathologies in evolutionary game theory. He is also interested in direct reciprocity in repeated and stochastic games, along with applications to problems of multi-agent learning.

Research interests include Game Theory, Evolutionary Game Theory (Evolution of Cooperation), Network Science (Network Resilience, Information Propagation, Epidemiology) and Collective Behavior/Intelligence, Multi-agent Learning.

Albane is interested in building mathematical and numerical models for hydrodynamics problems that arise in experimental soft active matter and biological physics. Her research focuses on the interplay between confinement, properties of complex fluids and the swimming and sensing of microswimmers at the individual and collective scales. 

Mari uses tools from evolutionary game theory, dynamical systems, and network science to explore collective and emergent behavior in social systems. Her recent projects have explored cooperation and political polarization in multi-dimensional opinion spaces, emergent hierarchies in dynamic networks, and indirect reciprocity in group-structured populations.