Mar 26 Quantitative Biology Colloquium 4 to 5 p.m., March 26, 2024 Improving Robustness to Dataset Shifts in Temporal Prediction of Long COVID from Clinical Data Sarah Pungitore, Program in Applied Mathematics, University of Arizona
Mar 19 Quantitative Biology Colloquium 4 to 5 p.m., March 19, 2024 An approximate Bayesian computation approach for embryonic astrocyte migration model selection Tracy Stepien, Department of Mathematics, University of Florida
Feb 13 Quantitative Biology Colloquium 4 to 5 p.m., Feb. 13, 2024 Acoustoelectric Imaging: A New Way to Map Electrical Currents in the Brain Margaret Miles Allard, Optical Sciences, University of Arizona
Feb 06 Quantitative Biology Colloquium 4 to 5 p.m., Feb. 6, 2024 Movement Data Reveal Dynamic Social Relationships Henry Scharf, Department of Mathematics, University of Arizona
Jan 16 Quantitative Biology Colloquium 4 to 5 p.m., Jan. 16, 2024 Can we get rid of menopause? Stochastic modeling of ovarian aging and procedures for menopause delay Sean Lawley, Department of Mathematics, University of Utah
Dec 05 Quantitative Biology Colloquium 4 to 5 p.m., Dec. 5, 2023 Andrew Wheeler, Genetics Graduate Program; Travis Wheeler, Department of Pharmacy Practice and Science Biological sequence annotation, Part V
Nov 07 Quantitative Biology Colloquium 4 to 5 p.m., Nov. 7, 2023 Biological Sequence Annotation, Part I Dylan Reichert, Biomedical Engineering, and Woody March-Steinman, Applied Mathematics, University of Arizona
Oct 24 Quantitative Biology Colloquium 4 to 5 p.m., Oct. 24, 2023 Using water displacement to measure microscale structure of brain tissue with MRI Elizabeth Hutchinson, Department of Biomedical Engineering, University of Arizona
Oct 17 Quantitative Biology Colloquium 4 to 5 p.m., Oct. 17, 2023 Reconstruction of three-dimensional microvascular networks from two-photon imaging data Tim Secomb, Department of Physiology, University of Arizona
Oct 10 Quantitative Biology Colloquium 4 to 5 p.m., Oct. 10, 2023 Biological Imaging and Image Analysis Part 2 Dunia Fernandez, Applied Mathematics, and Margaret Allard, Optical Sciences, University of Arizona