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Prof. Dr. rer. nat. Ulrich Gerland

Photo von Prof. Dr. Ulrich Gerland
Phone
+49 89 289-12394
Room
PH: 3333
E-Mail
gerland@tum.de
Links
Homepage
Page in TUMonline
Group
Theory of Complex Bio-Systems
Job Titles
  • Department Council Member: Representative of the professors
  • Professorship on Theory of Complex Bio-Systems
Consultation Hour
on appointment

Courses and Dates

Offered Bachelor’s or Master’s Theses Topics

Computational model for the growth of closed shells: how can self-assembled shapes be conserved during growth?
The aim of this Master thesis is to use computer simulations as a tool to explore possible growth mechanisms for closed shells that form by self-assembly via out-of-equilibrium mechanisms. These shells could be the envelope of biological cells or of engineered biosynthetic containers made, e.g. of DNA or proteins. This thesis will focus on the conceptual kinetic mechanisms, on a coarse-grained level, rather than the detailed molecular implementation. 
suitable as
  • Master’s Thesis Applied and Engineering Physics
Supervisor: Ulrich Gerland
Growing shapes: Kinetics of integrating cell wall material into the envelope of a growing cell
The aim of this Master thesis is to explore different modes of cell wall growth, which is locally controlled by enzymes but has a global effect on the shape of the cell. Which schemes of enzymatic action permit stably growing cell shapes? And which ones can mimick the observed growth behavior of different bacterial species? These fundamental questions are surpisingly largely open, partially due to the difficulty of experimentally determining which local properties of the cell wall affect the enzymatic activity. In light of this experimental barrier, conceptual theoretical models can classify different plausible schemes by their large-scale behavior, which is more easily observed experimentally. This thesis will combine simulations of stochastic models for growing shapes with simple analytical toy models to address some of the open questions.
suitable as
  • Master’s Thesis Biophysics
Supervisor: Ulrich Gerland
Pattern Formation via Local Cell-Cell Signaling with Variable Interaction Ranges

Pattern formation phenomena occur in many different contexts ranging from physical and chemical systems to developmental biology and synthetic biology. In developmental biology, the correct relative positioning and determination of different cell fates is essential to ensure that the organism functions correctly. Whilst many models for pattern formation exist, the focus here is on cellularized systems with interactions only between nearby cells. This form of communication has previously received less attention from theoretical research than e.g. long-range diffusible signals as a means of communication. Our goal is to explore fundamental limits, patterning concepts, and engineering potential with a simple top-down model. Building on previous work, the project will concentrate on searching mechanisms of pattern formation with the goal of investigating how the interaction range can influence the ability to realiably create paradigmic patterns like striped "French Flag" patterns with tunable widths of the stripes. Prior knowledge in biology/biophysics is not needed, but interest in theoretical physics and computational problem solving is expected.

suitable as
  • Bachelor’s Thesis Physics
Supervisor: Ulrich Gerland
Simulating the collective motion of encapsulated enzymes in external substrate gradients
Recent experiments revealed that the diffusion coefficients of enzymes can depend on the concentration of their corresponding substrates: the enzyme diffuses faster in the presence of more substrate. The aim of this thesis is to understand the consequences of this effect on the collective motion of enzymes. Imagine a vesicle immersed in a substrate gradient and loaded with thousands of units of a specific enzyme. What would happen to this vesicle? Would the non-uniform motion of the enzymes inside affect the shape of the vesicle? And what kind of deformations could be produced? Would it be possible to cause the movement of the vesicle along a preferred direction? To tackle these questions, you will be involved in the implementation of Brownian dynamics simulations combining a mesh description of the vesicle, the diffusion-dependent movement of enzymes and the interactions between the enzymes and the vesicle. With this work you can contribute to some of the latest developments in enzyme dynamics and active matter. Moreover, your results can be utilized to design and analyze experiments. Prerequisites: Interest in biophysical systems and in simulations of dynamical systems.
suitable as
  • Master’s Thesis Biophysics
Supervisor: Ulrich Gerland
Studying the bacterial life cycle and morphology using flow cytometry

The flow cytometer is an optical device that can measure cell properties at a single cell level with a high throughput. The aim of this Master thesis is to explore the dynamics of bacterial populations using flow cytometry to address the following questions: How does a cell population change at the onset of growth arrest? What are the dynamics of cellular viability during starvation? Do bacteria uniformly die under starvation or are there growing subpopulations? Can one accurately infer morphological information from flow cytometry data? How can cell dynamics under starvation be modeled with the help of stochastic processes?

suitable as
  • Master’s Thesis Biophysics
Supervisor: Ulrich Gerland
Two-dimensional Pattern Formation via Local Cell-Cell Signaling
Pattern formation phenomena occur in many different contexts ranging from physical and chemical systems to developmental biology and synthetic biology. For instance, in developmental biology, the correct relative positioning and determination of different cell fates is essential to ensure that the organism functions correctly. Whilst many models for pattern formation have been studied, the focus here is on cellular systems with interactions only between neighboring cells. This form of communication has previously received less attention from theoretical research than e.g. long-range diffusible signals as a means of communication. Our goal is to explore fundamental limits, patterning concepts, and engineering potential with a simple top-down model. Building on previous work, the project will concentrate on searching mechanisms of pattern formation with the goal of investigating which information processing and communication logics can robustly produce different prototypical patterns in two spatial dimensions. Prior knowledge in biology/biophysics is not needed, but interest in theoretical physics and computational problem solving is expected.
suitable as
  • Master’s Thesis Applied and Engineering Physics
Supervisor: Ulrich Gerland
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