Jan Conradt

Post Doc
Address
Office
Contact
Research interests
My research currently focuses on population dynamics and management of North Atlantic cod. Using climate-driven numerical models in combination with decision-making- and optimization techniques, I am investigating the long-term possibilities of fisheries management under climate change.
In addition, I am interested in improving procedures for the automatic classification of plankton images using deep-learning techniques.
Educational background
2020-ongoing: PhD studies on management of North Atlantic cod (Gadus morhua L.) under future climate change; Universität Hamburg; supervisor: Prof. Dr. Christian Möllmann
2017-2020: Master studies in Marine Ecosystem and Fisheries Science; Universität Hamburg. Graduation thesis: “Automated plankton image classification with a Capsule Neural Network”; supervisors: Dr. Marta Moyano, Prof. Dr. Christian Möllmann
2013-2017: Bachelor studies in Biology; Universität Hamburg. Graduation thesis: “Origin and growth history of juvenile herring (Clupea harengus L) utilizing intertidal salt marsh creeks in the German Wadden Sea”; supervisors: Dr. Andreas Dänhardt, Dr. Claudia Günther
Website: www.exdatascientia.org
Employment
2020-ongoing: Research associate, COMFORT project (“our common future ocean in the earth system - quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points”).
Publications
Jan Conradt, Gregor Börner, Christian Möllmann, Ángel López-Urrutia, Marta Moyano. “Automated plankton classification with a dynamic optimization and adaptation cycle”. Frontiers in Marine Science (2022). https://doi.org/10.3389/fmars.2022.868420
Rene‐Marcel Plonus, Jan Conradt, André Harmer, Silke Janßen, Jens Floeter. “Automatic plankton image classification—Can capsules and filters help cope with data set shift?”. Limnology and Oceanography: Methods (2021) https://doi.org/10.1002/lom3.10413
Teaching
Supervision: Bachelor Thesis Kilian Huss: “Automated Plankton Classification with Contrastive Learning” (2022; in collaboration with Dr. Jens Floeter)
Bachelor course “Machine Learning for Biologists” (2020-2022; in collaboration with Dr. Jens Floeter and Rene Plonus)
E-learning: Schwab, N., Conradt, J., Gottschalk, R., Jentsch, H., Kaul, N., Werner, M., Bobrowski, M., Weidinger, J., Blender, R., Fischer, E., Oldeland, J., Otto, S. A., Böhner, J. (2017-2022): RLab - Skriptbasierte modulare Umweltstatistik. Lehrlabor, Universitätskolleg 2.0, Universität Hamburg. https://rlab.blogs.uni-hamburg.de. (programming work; 2018-2019)