Marc Osterland
Hi! I am a Bioinformatician with a deep passion for solving data-centered problems. I am researching in Machine Learning approaches for the analysis of Fluorescence Microscopy images, mainly using Deep Neural Networks.
Experience
Bayer AG
Research Scientist • April 2020 — today
- Researching in new Machine Learning approaches for Fluorescence Microscopy Images
- Development of data-driven analysis pipelines for drug discovery.
Zuse Institute Berlin
Research Assistant • Feb 2015 — Jun 2019
- Image analysis of bio-medical images with Convolutional Neural Networks.
- Unsupervised Learning and Interpretation of Latent Spaces.
- Stochastic modelling of cell migration with Markov State Models.
- Implementation of a web-based collaborative Data Management platform.
Education
Freie Universität Berlin
Ph.D. Bioinformatics • 2015 — 2021
Image-based disease assessment of Rheumatoid Arthritis using Variational Autoencoder and Koopman Operators.
Freie Universität Berlin
M.sc. Bioinformatics • 2011 — 2014
Classification of cancer cells and quantification of drug efficacy.
Freie Universität Berlin
B.sc. Bioinformatics • 2007 — 2011
Survival prediction of metastatic colon cancer patients.
Associations
Bootschaft e.V.
Co-founder & Member • since 2011
Organization of public events and workshops, dedicated to re- and up-cycling. Responsible for outboard engines and outreach.
Social Links
- Github: https://github.com/marcosterland
- LinkedIn: https://www.linkedin.com/in/marcosterland
- Instagram: https://www.instagram.com/marcosterland/
- Website: http://marcosterland.com