Feb 01 Quantitative Biology Colloquium 4 p.m., Feb. 1, 2022 <p><strong>Introduction to Dynamic Mode Decomposition</strong><br /> Robert Ferrando, Program in Applied Mathematics, University of Arizona</p>
Feb 08 Quantitative Biology Colloquium 4 p.m., Feb. 8, 2022 <p><strong>Tree Story: What we can learn about climate and forest history from the rings in trees</strong><br /> <span>Valerie Trouet, Laboratory of Tree-Ring Research, University of Arizona</span></p>
Jan 18 Quantitative Biology Colloquium 4 p.m., Jan. 18, 2022 <p><strong>Organizational Meeting</strong><br /> Tim Secomb, Department of Physiology, and Joe Watkin, Department of Mathematics, University of Arizona</p>
Nov 30 Quantitative Biology Colloquium 4 p.m., Nov. 30, 2021 <p><strong>Lens shape and growth in the eye</strong><br /> Nicholas A. Delamere, Head, Department of Physiology, University of Arizona</p>
Nov 23 Quantitative Biology Colloquium 4 p.m., Nov. 23, 2021 <p><strong><span>Theoretical modeling of blood vessel growth in the retina</span></strong><br /> Timothy W. Secomb, Department of Physiology and Program in Applied Mathematics, University of Arizona</p>
Nov 16 Quantitative Biology Colloquium 4 p.m., Nov. 16, 2021 <p><strong>Mathematical modeling of the eye – Part II</strong><br /> <span>Addie Harrison and Bill Fries, Program in Applied Mathematics, University of Arizona</span></p>
Nov 09 Quantitative Biology Colloquium 4 p.m., Nov. 9, 2021 <p><strong>Mathematical modeling of the eye</strong><br /> Jacob Copple, Biochemistry and Molecular and Cellular Biology nd Tom Knapp, Biomedical Engineering, University of Arizona</p>
Nov 02 Quantitative Biology Colloquium 4 p.m., Nov. 2, 2021 <p><strong><span>Classification in Machine Learning</span></strong><br /> <span>Helen Zhang, Program in Statistics and Data Science, University of Arizona</span></p>
Oct 26 Quantitative Biology Colloquium 4 p.m., Oct. 26, 2021 <p><strong>Modelling dementia</strong><br /> Alain Goriely, Mathematical Institute, University of Oxford</p>
Oct 19 Quantitative Biology Colloquium 12:30 p.m., Oct. 19, 2021 <p><strong>Multi-class classification deep learning model using TensorFlow</strong><br /> Alexa Aucoin, Program in Applied Mathematics Liyun Zeng, Program in Statistics and Data Science, University of Arizona and</p>