Mathematical Biology Seminar - Tahra Eissa

Dec. 14, 2020

Tahra Eissa, Department of Applied Mathematics, University of Colorado Boulder Normative decision asymmetries with symmetric priors but asymmetric evidence Decisions based on rare events are challenging because rare events alone can be both informative and unreliable as evidence. How humans should and do overcome this challenge is not well understood...

Mathematical Biology Seminar - David Stearns

Dec. 7, 2020

David Stearns, Department of Applied Mathematics, University of Colorado Boulder Dynamics and Analysis of Territorial Animals The ways animals form territories, interact with members of their own social group, and interact with members of other intraspecies social groups play a vital role in the maintenance of an ecosystem and in...

Mathematical Biology Seminar - John Nardini

Nov. 23, 2020

John Nardini, Department of Applied Mathematics, University of Colorado Boulder Data-driven modeling for noisy biological data and agent-based Models I will consider the problem of inferring the dynamics underlying biological data using two case studies in equation learning and topological data analysis. The math biology field presents several exciting challenges...

Mathematical Biology Seminar - Subekshya Bidari

Nov. 16, 2020

Subekshya Bidari, Department of Applied Mathematics, University of Colorado Boulder Mathematical Biology Seminar for 16 November 2020 Honey bees make decisions regarding foraging and nest-site selection in groups ranging from hundreds to thousands of individuals. To effectively make these decisions bees need to communicate within a spatially distributed group. However,...

Mathematical Biology Seminar - Nicholas Barendregt

Nov. 9, 2020

Nick Barendregt, Department of Applied Mathematics, University of Colorado Boulder Normative and Dynamic Urgency in Dynamic Decision Environments In uncertain and dynamic environments, humans must adapt their decision-making strategies to ensure accurate and timely choices. For example, in environments where the reward for a correct decision depends on time, individuals...

Mathematical Biology Seminar - Lyndsey Wong

Nov. 2, 2020

Lyndsey Wong, Department of Applied Mathematics, University of Colorado Boulder Mathematical Models for Wealth Dynamics The dynamics of wealth are not fully understood. In order to gain insight on these dynamics, we can use mathematical models. One application of wealth modeling is gentrification. Gentrification refers to the influx of income...

Mathematical Biology Seminar - Zachary Kilpatrick

Oct. 26, 2020

Zachary Kilpatrick, Department of Applied Mathematics, University of Colorado Boulder Heterogeneity improves speed and accuracy in social networks How does temporally structured private and social information shape collective decisions? To address this question we consider a clique of rational agents who independently accumulate private evidence that triggers a decision upon...

Mathematical Biology Seminar - Erin Ellefsen

Oct. 19, 2020

Erin Ellefsen, Department of Applied Mathematics, University of Colorado Boulder Nonlocal Models in Ecology Nonlocal models can be very useful to describe some phenomena in Ecology. However, they also pose both analytical and computational challenges. We investigate territory development of meerkats by studying a system of nonlocal continuum equations. We...

Mathematical Biology Seminar - Lewis Baker

Oct. 5, 2020

Lewis Baker, Department of Applied Mathematics, University of Colorado Boulder Inference of Diffusion Coefficients from Single Molecule Trajectories Single particle tracking (SPT) enables experimentalists to observe the movement of individual molecules in various experimental contexts. As this field advances, the questions posed by researchers require increasingly nuanced analyses of the...

Mathematical Biology Seminar - Daniel Messenger

Sept. 21, 2020

Daniel Messenger, Department of Applied Mathematics, University of Colorado Boulder Data-Driven Model Selection using Weak SINDy with Applications to Spatiotemporal Problems in Biology The task of identifying governing equations to match observed phenomena is crucial to understanding and predicting the behavior of complex systems for which derivation of models from...

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