Susann Bader
Scientific Software Engineer at Genedata- Claim this Profile
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English Professional working proficiency
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German Native or bilingual proficiency
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French Elementary proficiency
Topline Score
Bio
Credentials
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Duolingo französische Sprachkompetenz: Mittlerer Kenntnisstand (Geschätzt)
DuolingoJul, 2016- Nov, 2024 -
Developing Data Products
Coursera Course CertificatesFeb, 2016- Nov, 2024 -
Statistical Inference
Coursera Course CertificatesNov, 2015- Nov, 2024 -
Reproducible Research
Coursera Course CertificatesJun, 2015- Nov, 2024 -
Practical Machine Learning
Coursera Course CertificatesMay, 2015- Nov, 2024
Experience
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Genedata
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Switzerland
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Biotechnology Research
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200 - 300 Employee
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Scientific Software Engineer
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Oct 2019 - Present
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Max Planck Institute for Multidisciplinary Sciences
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Germany
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Research
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200 - 300 Employee
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Postdoctoral Researcher
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Jan 2018 - Aug 2018
Developing CCMpredPy: learning exact statistical models of protein families and CCMgen: generating realistic synthetic protein alignments. - method development involved data preparation, statistical modelling, parameter estimation, numerical optimization, simulating synthetic data from generative models using Gibbs sampling, model and performance evaluation and data visualizations - results published in a peer-reviewed scientific journal and software available as Python package on Github along with documented code fully reproducing the analysis - programming in Linux bash, Python, visualization with plotly Show less
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Ludwig-Maximilians-Universität München
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Germany
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Higher Education
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700 & Above Employee
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PH.D. student
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Sep 2013 - Dec 2017
PhD project in the Soeding Lab ( Quantitative and Computational Biology) ”Bayesian Statistical Approach for Prediction of Protein Residue-Residue Contacts” Applying Bayesian modelling and machine learning approaches to predict physical contacts between amino acids in the protein structure from protein sequences alone. - collecting and cleaning data and extraction of features - exploratory analysis and visualization of high dimensional data - statistical modelling (Bayesian, graphical), hyperparameter estimation using maximum likelihood, MCMC sampling and Bayesian methods - numerical optimization using first and second order optimization algorithms - deploying machine learning pipelines (Random forest, logistic regression) - model evaluation and performance benchmarks - setting great value upon reproducible, well-documented software accompanied by interactive visualizations - programming in Linux Bash, Python, R, C++, visualization with plotly, ggplot and shiny Show less
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Helmholtz Munich
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Germany
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Research Services
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700 & Above Employee
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Research Assistant
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Mar 2012 - Oct 2013
Development and analysis of QSAR models for biodegradability data using the Online chemical modeling environment (OCHEM) Development and analysis of QSAR models for biodegradability data using the Online chemical modeling environment (OCHEM)
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BioSciTec GmbH
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Germany
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1 - 100 Employee
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Student Trainee
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Oct 2008 - Mar 2011
• development of a web portal for clients and an internal company Wiki • support in sofware development and establishment of automated software tests • development of a web portal for clients and an internal company Wiki • support in sofware development and establishment of automated software tests
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Bundeswehr Wir. Dienen. Deutschland.
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Germany
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Armed Forces
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700 & Above Employee
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Sports Soldier
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Jul 2006 - Jul 2008
• raised into position of sergeant • participation in numerous international championships • female junior world champion accuracy skydiving in Lucenec, SVK, 2008 • raised into position of sergeant • participation in numerous international championships • female junior world champion accuracy skydiving in Lucenec, SVK, 2008
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Education
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Ludwig-Maximilians Universität München
Doctor of Philosophy (PhD), Computational Biology -
Technical University Munich
Master’s Degree, Bioinformatics -
The Goethe University Frankfurt
Bachelor’s Degree, Bioinformatics -
Max-Klinger Gymnasium
High School, 1.0 -
Lamar County High School
High School