Biological Algorithms Group

Our mission is to identify simple paradigms of robust motility control and pattern formation in complex biological systems. We reverse-engineer biological solutions of robust control in close collaboration with experimental biologists. We use tools from physics, information theory, and engineering; likewise, we seek to excite bio-inspired applications of biological information processing in these fields.

We focus on principles of biological information processing in two model systems:

  1. Motility control: We study how noisy sensory information controls biological motility and dynamic decision making, e.g. during sperm navigation to the egg.
  2. Pattern control: We study elementary rules of self-organized pattern formation during self-repair and adaptation, e.g. of load-balancing transport networks in the liver.

On top of that, we explore potential applications of biological control designs in advanced electronics applications in tight collaboration with the other paths of the cfaed.

We are currently searching for highly motivated and talented students to work at the interface of physics and biology with a twist towards computer science.

Group News

Biaxial nematic liquid crystal order in liver tissue

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Andre combined statistical physics, liquid-crystal theory, and analysis of experimental data to understand design principles and self-organization of a complex tissue with two tightly intertwined, space-filling transport networks. Congratulations!

3 papers accepted last week: Congratulations to Justus and Jens, keep up the good work!

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Published on in BIOLOGICAL ALGORITHMS (NEWS)

We had an enjoyable 2017 (as is documented by the photobox snapshot from our Christmas market stroll this year), and look forward to many more adventures which lie ahead.

Happy holidays and a prosperous 2018!

 

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Published on in BIOLOGICAL ALGORITHMS (NEWS)

We welcome Anton to our group and wish him much success during his PhD journey!

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Published on in BIOLOGICAL ALGORITHMS (NEWS)

We welcome international and local students to our summer school "Micromotors: From Nature to Engineering", 13.-18.08.2017, with funding from Dresden Zukunftskonzept. 

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Gary investigated "How biological oscillators synchronize despite noise in a swimming algae", publishing his results in PRL.

Published on in BIOLOGICAL ALGORITHMS (NEWS)