DDMB-MS15

# Modelling and Methods in Mathematical Biology

#### Wednesday, June 16 at 05:45pm (PDT)

Thursday, June 17 at 01:45am (BST)

Thursday, June 17 09:45am (KST)

**Organizers:**

#### Anthony Kearsley (National Institute of Standards and Technology, USA)

**Description**:

Mathematical modeling is a process by which a real world problem is described by a mathematical formulation. Mathematical biology is a highly challenging frontier of applied mathematics employing a variety of modeling strategies that have been developed to focus on a one or more specific aspects of the application. The vast the majority of these mathematical models are formulated in terms of either algebraic or differential equations. In this mini-symposium we seek to present a survey of applications from mathematical biology that employ unique methods and mathematical biology techniques each of which is inherently tied to the selection of a mathematical model and is tied to measurement data. They are all linked by the common desire to predict, simulate or control biological processes. They are all real world problems where success hinges on accurate modelling and measurement.

#### Julia Seilert

*(Department of Food Process Engineering, Technische Universität Berlin, Germany)*

###### "Revisiting a model to predict pure triglyceride thermodynamic properties: parameter optimization and performance"

#### Adarsh Kumbhari

*(School of Mathematics and Statistics, University of Sydney, Australia)*

###### " Modeling PD-L1 inside the tumor microenvironment"

#### Danielle Brager

*(National Institute of Standards and Technology, USA)*

###### "Mathematically Investigating Retinitis Pigmentosa"

#### Anca Radulescu

*(State University of New York at New Paltz, USA)*