Johanna Chuchuy

PhD Candidate

Johanna studied Mechanical Engineering (M. Sc.) at the University of Stuttgart with focus on Biomedical Process Engineering and Materials Engineering. In her study research project she worked on the development of a nerve guide via solution blow spinning. Enjoying working in the field of medical engineering, she completed an internship at the startup SCOPIS GmbH, Berlin (quality management and approval of medical devices). To broaden her skills in the field of simulation techniques she simulated the material deposition in additive manufacturing with ANSYS Fluent. Johanna received her master’s degree in June 2017.

In February 2017 Johanna joined the Loskill-Lab as a research assistant for the chip production and continued the collaboration to realize her PhD. Her work focuses on the optimization of the Retina on Chip system. In her free time she enjoys hiking and playing the violin.


K. Achberger*, M. Cipriano*, M. Düchs*, C. Schön*, S. Michelfelder, B. Stierstorfer, T. Lamla, S.G. Kauschke, J. Chuchuy, J. Roosz, L. Mesch, V. Cora, S. Pars, N. Pashkovskaia, S. Corti, S.-M. Hartmann, A. Kleger, S. Kreuz, U. Maier, S. Liebau, P. Loskill
Human stem cell-based retina-on-chip as new translational model for validation of AAV retinal gene therapy vectors
Stem Cell Rep., 2021, 16, 2242-2256,

J. Chuchuy, J. Rogal, T. Ngo, K. Stadelmann, L. Antkowiak, K. Achberger, S. Liebau, K. Schenke-Layland, P. Loskill
Integration of Electrospun Membranes into Low-Absorption Thermoplastic Organ-on-Chip
ACS Biomater. Sci. Eng., 2021, 7, 3006-3017,

K. Achberger*, C. Probst*, J.C. Haderspeck*, S. Bolz, J. Rogal, J. Chuchuy, M. Nikolova, V. Cora, L. Antkowiak, W. Haq, N. Shen, K. Schenke-Layland, M. Ueffing, S. Liebau, P. Loskill
Merging organoid and organ-on-a-chip technology to generate complex multi-layer tissue models in a human Retina-on-a-Chip platform
eLife, 2019, 8, e46188,

J.C. Haderspeck*, J. Chuchuy*, S. Kustermann, S. Liebau, P. Loskill
Organ-on-a-Chip technologies that can transform ophthalmic drug discovery and disease modelling
Expert Opin. Drug Discov., 2019, 14, 47-57,