About

Dr. Marie Tolkiehn

Alma Mater: Imperial College London, HAW Hamburg

I am currently a Data Science Manager in research for applied biophysics at Beiersdorf.

Before joining Beiersdorf, I was the scientific and administrative manager of the Center for Data and Computing in Natural Sciences, a Data Science cooperation between DESY, Universität Hamburg and TU Hamburg. Working in an interdisciplinary team among Astro- and Particle Physicists to Biologists, we developed and applied state-of-the-art machine learning techniques on problems in the natural sciences (e.g. radiogalaxy classification, protein-protein interaction).

Previously, I was a Senior Research Associate at the University of Bristol (School of Physiology, Pharmacology and Neuroscience), working with Dr. Paul Chadderton. I was primarily interested in topics combining experimental work and computational analysis (in particular statistical models, information theory and computational modelling of populations of neurons). We investigated neural information processing in the mammalian cerebellum.

Before joining the University of Bristol in 2018, I completed my PhD, MSc and substantial parts of my BSc at Imperial College London. I received my PhD in Computational Neuroscience at Imperial College London, supervised by Prof. Simon Schultz and Dr. Claudia Clopath. In my PhD project, I investigated visual information processing in the mammalian primary visual cortex under varying stimulus conditions. I applied various machine learning, information-theoretic and statistical models on large-scale neural data. This data analysis highlighted varying neural activities and various processing strategies during different types of behaviour and perception.

Between my PhD and my MSc I spent some time as a Research Affiliate in the Redwood Center for Theoretical Neuroscience at University of California at Berkeley. Under the guidance of Prof. Fritz Sommer, I played with various theoretical, mathematical and computational models on neural data.

Prior to my PhD, I completed an MSc in Bioengineering at the Department of Bioengineering, Imperial College London, under the supervision of AI and Neuroscience Prof. Dr. Aldo A. Faisal. This work comprised the acquisition of full-body motion-capturing data to constitute a database of unconstrained movements under activities of daily living.

Research work for my BSc in Biomedical Engineering was carried out in the Institute of Global Health Innovation, Hamlyn Centre for Robotic Surgery at Imperial College London under the guidance of Prof. Guang-Zhong Yang and Prof. Bernd Kellner of HAW Hamburg. In my Bachelor's thesis I devised, implemented and evaluated a fall detection algorithm simple enough to be implemented on a microcontroller capable of sucessfully detecting a fall and its direction.