Seminar 1: High Frequency Trading
Dr. Alles-Feldhoff, SUO TEMPORE (Schweiz) AG, CH-9428 Walzenhausen / AR
This seminar was cancelled on short note.
Seminar 2: The Smoothed Particle Hydrodynamics Method and its Applications in Astrophysics
Prof. Dr. Stephan Rosswog, School of Engineering and Science, Jacobs University Bremen gGmbH, D
Smoothed Particle Hydrodynamics (SPH) is a Lagrangian, completely mesh-free method to solve the Euler equations of hydrodynamics. In my talk I will discuss the basic underlying principles of SPH and in particular touch upon its exact advection and conservation properties. I will briefly show how modern formulations of SPH can be derived via variational principles for the Newtonian, special- and even general relativistic case. Moreover, I will give an overview over applications of SPH in astrophysics with a particular focus on systems that produce stellar explosions.
Seminar 3: Numerical Weather Prediction - meteoblues race against time
Dr. Mathias Müller, Institut für Meteorologie, Klimatologie und Fernerkundung Uni Basel, Founder meteoblue AG
Weather forecasting is increasingly automated and entirely machine based at meteoblue. The presentation will give an overview of the forecast process as well as mention the computational challenges involved. Meteorological observations need to be assimilated to provide initial conditions for the differential equations describing the weather system. The equations are integrated numerically hundreds of billions of times in a single forecast, generating about a terabyte of data. While the governing dynamics are described by the Navier-Stokes equations, modern forecast models spend most of the computing time on physical processes like radiation, clouds, precipitation and land surface interactions. The physical realism of weather simulations increases with increasing computing power, but does the forecast quality also improve? Statistical post-processing is playing an important role in competing against human forecasters. Is there a limit on accuracy and how can we predict and deal with uncertainty of the forecast? Will weather forecast in the future be different from what we are used to?
Seminar 4: Modeling heterogeneities in gene expression during cellular decisions
Prof. Dr. Fabian Theis, Helmholtz Center und TU Muenchen, D
Cell-to-cell variations in gene expression underlie many biological processes. Currently more and more experimental tools are becoming available in order to observe these variations, and to draw conclusions on underlying processes - for instance Munsky et al [MSB 2009] have shown that such information can be used for reducing model indeterminacies. However, given these experimental advances, we are now facing a series on computational questions dealing with these data, since classical analysis tools are often tailored to population averages.
Here I present three such analyses and models on different scales: I will start with a genome-scale mixture model for the analysis of microarray data from stochastic profiling, first proposed by Janes et al [Nat Meth 2010]. Then I will discuss the analysis of single-cell PCR expressions using nonlinear dimension reduction with an application to data from embryonic stem cell differentiation. I will finish with a molecular model of blood cell differentiation trained from time-lapse microscopy data.
Seminar 5: Seminar was cancelled
Seminar 6: Models for Movement in Oriented Environments: From cells to toads
Dr. Kevin J. Painter, Department of Mathematics, Heriot-Watt University, UK
Successful navigation through a complicated and evolving environment is a fundamental task carried out by an enormous range of organisms, with migration paths staggering in their length and intricacy. Selecting a path requires the detection, processing and integration of a myriad of cues drawn from the surrounding environment and in many instances it is the intrinsic orientation of the environment that provides a valuable navigational aid. In this talk I will describe the use of transport models to describe migration in oriented environments, and demonstrate the approaches that allow us to derive macroscopic models for movement.
I will illustrate the methods through a number of apposite examples, including the migration of cells in the extracellular matrix, the macroscopic growth of brain tumors and the invasion of cane toads along roads.