Presentations

A framework for systematically and efficiently integrating simple idealized with complex operational earth systems models. 

A mathematical framework for studying the interactions between uncertainty and non-linearity in oceanic eddy identification through the use of closed formulae.

A simple dynamical model that represents the complexities of ENSO, MJO, and their interactions.

A framework for systematically and efficiently integrating simple idealized with complex operational earth systems models. 

How applied mathematics helps organize complexity in Earth systems science and clarify what we can and cannot understand, predict, and trust.

How rigorous mathematical reasoning and modeling can extract insight from complex phenomena, bridge accuracy with practicality in simulation, and quantify uncertainty propagation through complex dynamics. 

A framework for systematically and efficiently integrating simple idealized with complex operational earth systems models. 

A broad introduction, palatable across interdisciplinary boundaries, on how mathematical tools such as differential equations, stochastic processes, machine learning, and uncertainty quantification can be used to model and address problems in both Earth science and biology.

A framework for systematically and efficiently integrating simple idealized with complex operational earth systems models. 

A mathematical framework for studying the interactions between uncertainty and non-linearity in oceanic eddy identification through the use of closed formulae.

A mathematical framework for studying the interactions between uncertainty and non-linearity in oceanic eddy identification through the use of closed formulae.

A framework for systematically and efficiently integrating simple idealized with complex operational earth systems models. 

A framework for systematically and efficiently mixing idealized and operational earth systems models together to get the best of both worlds. Talk 

A mathematical framework for studying the interactions between uncertainty and non-linearity in oceanic eddy identification through the use of closed formulae.

An explainable AI framework that utilizes a reconfigured latent data assimilation approach to bridge idealized  and operational earth systems models. Poster 

A machine learning framework that utilizes a new latent data assimilation approach to integrate idealized  and operational earth systems models. Talk 

A mathematical framework for studying the interactions between uncertainty and non-linearity in oceanic eddy identification through the use of closed formulae. Talk 

A mathematical framework for examining the propagation of uncertainty from the flow field through non-linearity in eddy identification criteria, and studying the uncertainty reduction from data assimilation both before and after application of the eddy diagnostic.

A simple SDE applied to the complex relationship between the El Nino Southern Oscillation and Madden Julian Oscillation to reproduce large scale statistics of their individual dynamics as well as their interactions. 

The coupling of two stochastic low order models to capture the large scale statistics of both the ENSO and MJO phenomena and their interactions. Poster 

The coupling of two stochastic low order models to capture the large scale statistics of both the ENSO and MJO phenomena and their interactions. Poster 

An application of a stochastic ODE model to capture the large scale statistics of the coupled ENSO and MJO phenomena. 

The coupling of two stochastic low order models for ENSO and MJO to create a model that accurately reproduces the statistics and large scale patterns of the two phenomena and their interactions. Poster 

The construction and parameter estimation of an improved compartment model for acanthocephalan parasite infection in gull-billed terns.

The construction, parameter estimation, and identifiability analysis of a compartment model for acanthocephalan parasite infection in gull-billed terns.

The construction of and estimation results from a compartment model of acanthocephalan parasite infection in gull-billed terns.

The structural and practical identifiability of an adult-child compartment model compared with a basic SEIR model.