Marcin Zagórski (group leader)
I started as an assistant professor at the Faculty of Physics, Astronomy and Computer Science of Jagiellonian University in November 2018. Before that I did two postdocs at IST Austria, first with Tobias Bollenbach (currently at the University of Cologne) and second with Anna Kicheva. My research was focused on unravelling biophysical mechanisms resulting in precise patterning of developing spinal cord. I received my PhD in Physics at the Jagiellonian University for work on design principles of large gene regulatory networks with Zdzislaw Burda (currently at AGH, Kraków). See http://cs.if.uj.edu.pl/zagorski/ for selected distinctions.
Maciej Majka (postdoc)
Maciej joined the group in June 2019. Before that he was a postdoc at Jagiellonian University in the Statistical Physics Division. He derived the thermodynamically consistent fluctuation-dissipation relation for the spatially correlated noise and applied it to describe the non-equilibrium effects in like-charge attraction of particles in ionic solutions. He received his PhD in Biophysics at Jagiellonian University for work on spatially correlated phenomena in soft matter and bio-molecular systems with Paweł Góra.
Richard Ho (postdoc)
Richard joined the group in October 2019. He did his PhD at the University of Edinburgh studying homogeneous isotropic turbulence under the supervision of Arjun Berera. During his PhD he also did research on the intersection of turbulence and chaos, using ideas from dynamical systems theory. This is his first postdoc position.
Hélder Larraguível (research assistant)
Hélder joined the group in June 2022 as a research assistant. Currently, he is on the verge of finishing his Ph.D. at the University of Warsaw under the supervision of Prof. Piotr Sułkowski. His previous research focused on the overlap between string theory, supersymmetry, and knot theory. As a naturally curious person, he likes to explore various research directions, which lead him to the field of developmental biology. He is interested in pattern formation, from rainbow stripes on mountains to the stripes on a tiger, these are fascinating ubiquitous natural phenomena. Besides staring at equations he also enjoys hiking or cycling in the mountains, traveling, practicing his Polish with podcasts, and sharing a coffee or a beer with friends.
Maciej Kania (undergrad)
Maciej joined the group in April 2021. He is a neurobiology undergraduate student. Maciej has experience with working with rats’ brains to study neurodegeneration caused by Parkinsonism and doing behavioural test on rats. He is also interested in computational neuroscience, including modelling of neurons, their distribution in tissues and in the whole brain.
Tomasz Kuliński (master’s student)
Tomasz joined the group in October 2021. He is a biophysics master’s student at Jagiellonian University. He is also pursuing the additional physics and natural science teacher certification programme at JU. During his undergraduate studies he worked on cellular migration in a wound healing model on a polylactide surface under supervision of prof. Zenon Rajfur. In his work he used in-vitro cell cultures, DIC video microscopy and image analysis. His other interests include philosophy, sociology, psychology, art and gamedev.
Adela Staszowska (postdoc)
Adela has joined the group in July 2020 as a postdoc. She did her research on properties of gene regulatory networks that enhance patterning precision in developing tissues. In November 2021 she joined a start-up company to work on deep tech R&D and focus on science communication on the industry-academia interface.
Jan Jedryszek (student)
Jan joined the group in November 2019 as undergrad student. He defended his bachelor thesis “Error correction mechanisms in pattern formation of developing tissues” in September 2020. He is currently at Heidelberg University, studying at the Max Planck School ‘Matter to Life’, a Max Planck Society research group focused on researching the origins of biological life and how life-like processes, functions and objects can be quantitatively simulated, predicted and created in the laboratory.