Quantitative Biology Colloquium

Assessing neural network models of mosquito abundance for vector surveillance

Adrienne Kinney, Program in Applied Mathematics, University of Arizona

Epidemic on a geographic network: analysis and vaccination strategy

Jean-Guy Caputo Laboratoire de Mathematiques, INSA de Rouen Normandie, France

Statistical and computational methods for modern large-scale comparative genomics (and what, if anything, does this have to do with Applied Math)?

 Sergei Kosakovsky-Pond, Department of Biology, Temple University, Alumni - Program in Applied Mathematics, University of Arizona

Assessing neural network models of mosquito abundance for vector surveillance

Adrienne Kinney, Program in Applied Mathematics, University of Arizona

Improving Robustness to Dataset Shifts in Temporal Prediction of Long COVID from Clinical Data

Sarah Pungitore, Program in Applied Mathematics, University of Arizona

An approximate Bayesian computation approach for embryonic astrocyte migration model selection

Tracy Stepien, Department of Mathematics, University of Florida

Acoustoelectric Imaging: A New Way to Map Electrical Currents in the Brain

Margaret Miles Allard, Optical Sciences, University of Arizona

Movement Data Reveal Dynamic Social Relationships

Henry Scharf, Department of Mathematics, University of Arizona

Can we get rid of menopause? Stochastic modeling of ovarian aging and procedures for menopause delay

Sean Lawley, Department of Mathematics, University of Utah

Andrew Wheeler, Genetics Graduate Program; Travis Wheeler, Department of Pharmacy Practice and Science

Biological sequence annotation, Part V