Lab Members

Pawel Romanczuk : PI
Pawel Romanczuk, PI

Pawel has a back ground in theoretical physicist and is interested in application of statistical physics and stochastic processes to biological and ecological problems. He has worked on mathematical models of collective motion in biology, as well as related problems of pattern formation and self-propelled motion. Among other things he is currently interested in the question how collective behavior is shaped and constrained by locally available sensory information, how to determine causal information flows between individuals in animal groups, and how do animal and human groups process information  in a collective way. Personal homepage:

pawel.romanczuk - at -
Winnie Poel : Pre-doctoral Researcher
Winnie Poel, Pre-doctoral Researcher

Winnie is currently studying fundamental properties of visual networks and complex contagion with applications to collective behavior of locusts and fish. She has a background in theoretical physics and has previously studied the formation of patterns on networks of nonlinear oscillators. More specifically, she focused on the influence of the network topology on pattern formation. She has a broad interest in dynamic processes on networks, such as the spreading of information or diseases, and was already engaged in research of social influence in human groups as a student assistant.

winnie.poel - at -
Pascal Klamser : Pre-doctoral Researcher
Pascal Klamser, Pre-doctoral Researcher

Pascal plans to work on modeling collective response to threats, and analysis of causal information flows in fish schools. He has a background in data analysis, anticipation or prediction of tipping points and in opinion dynamics on time evolving networks. The latter involved studies in which zealots where introduced, whose opinion can not be altered by other agents. Specifically the spreading of their opinion in dependence on their degree was of interest.

klamser - at -
Haider Klenz : Master Student
Haider Klenz, Master Student
Haider is studying Biophysics and is currently working
on his master's thesis in our group. The project involves
information transfer and startling-cascades in fish schools,
specific to our field research in Mexico. He tries to
research the characteristics of these cascades through agent-based
Parisa Rahmani : Visiting PhD Student
Parisa Rahmani, Visiting PhD Student


Former Members & Visitors

Ishan Levy : Research Intern
Ishan Levy, Research Intern

Ishan worked in our group in May/June 2016 just after finishing his first year studying Mathematics at Princeton University. He worked with Pawel Romanczuk for 6 weeks on collective information processing in agent-based models of flocking. More specifically he studied the response of a flock to a predator agent using computer simulations.

Rachana Balasubramanian : Research Intern
Rachana Balasubramanian, Research Intern

Rachana visited us in June/July 2016 just after her first year in computer science at Princeton University. During her internship she worked for 6 weeks on analysis of video data of fright waves in dense fish schools, recorded during our 2016 field trip to Mexico in collaboration with colleagues from Berlin, Princeton and Konstanz.

Conor McBride : Research Intern
Conor McBride, Research Intern

Conor, a physics undergraduate from University of St Andrews (Scotland), spent three months in our lab during summer 2017 as a research intern  (RISE program / DAAD) working with Pascal Klamser and Pawel Romanczuk. Conor worked on a project involving using a convolutional neural network to detect fish in complex video data from our field research in Mexico.  In particular, he wrote a program that takes the fish object detected by the neural network and connects individuals across frames in the video. Conor was able to achieve a significant improvement of the fish detection by reducing false positive detection via filtering the neural network output based on the length of trajectories obtained from this chaining process.

Clark Vaughn : Research Intern
Clark Vaughn, Research Intern

Clark visited our lab in June/July 2017 as an architecture undergraduate at Princeton University. He explored during his internship the modeling of complex systems with Python. In particular, he analyzed an cellular automata model of an excitable system as a coarse-grained model for spreading of startling response cascades and sustained startling waves in large-scale, high-density fish populations.