Education
10/2022 to 02/2024 |
M.Sc. Computer Science Grade: 1.3 Thesis: An empirical evaluation of data lakehouse table formats, advised by Prof. Dr. Lothar Piepmeyer and Dr. Andreas Weininger (IBM) Research Project: Stream Processing for ROS-based Application Development |
03/2024 to 06/2024 |
Exchange Semester GPA: 3.66 |
10/2007 to 08/2011 |
B.Sc. Computer Science (Online Media) Grade: 1.3 Thesis: The use of Apache Mahout and the MapReduce paradigm to perform cluster analysis of big data on Amazon Web Services, advised by Prof. Dr.-Ing. Wolfgang Maass and Jonas Almeida, PhD (University of Alabama at Birmingham) |
Work
05/2015 to 07/2022 |
Scientific Programmer at Michigan State University, Department of Epidemiology and Biostatistics, QuantGen Lab (Gustavo de los Campos, PhD)
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03/2011 to 05/2015 |
Scientific Programmer at University of Alabama at Birmingham, Department of Pathology, Division of Informatics (Jonas Almeida, PhD)
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03/2009 to 02/2011 |
Student Research Assistant at Hochschule Furtwangen University, Research Center for Intelligent Media (Prof. Dr.-Ing. Wolfgang Maass)
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09/2008 to 02/2009 |
Intern at CAS Software AG
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06/2004 to 09/2008 |
Web Developer at trenovis OHG
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Volunteer Work
2013 to 2019 |
Open Source Developer at AnkiDroid, a spaced repetition flashcard app for Android with over a million users
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2014 to 2015 |
Data Wrangler at Code for Birmingham, a Code for America brigade
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Publications
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A. Grueneberg, A. Mattes, L. Mendel, and J. Sobott, “Stream Processing for ROS-based Application Development,” informatikJournal, vol. 14.2023, pp. 47–53, 2023, Accessed: Apr. 02, 2024. [Online].
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B. D. Valente, G. de los Campos, A. Grueneberg, C.-Y. Chen, R. Ros-Freixedes, and W. O. Herring, “Using Residual Regressions to Quantify and Map Signal Leakage in Genomic Prediction,” Genetics Selection Evolution, vol. 55, no. 1, p. 57, Aug. 2023, doi: 10.1186/s12711-023-00830-1.
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G. de los Campos, A. Grueneberg, S. Funkhouser, P. Pérez-Rodríguez, and A. Samaddar, “Fine Mapping and Accurate Prediction of Complex Traits Using Bayesian Variable Selection Models Applied to Biobank-Size Data,” European Journal of Human Genetics, Jul. 2022, doi: 10.1038/s41431-022-01135-5.
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A. Gonzalez-Reymundez, A. Grueneberg, G. Lu, F. C. Alves, G. Rincon, and A. I. Vazquez, “MOSS: Multi-Omic Integration with Sparse Value Decomposition,” Bioinformatics, vol. 38, no. 10, pp. 2956–2958, May 2022, doi: 10.1093/bioinformatics/btac179.
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A. Grueneberg and G. de los Campos, “BGData - A Suite of R Packages for Genomic Analysis with Big Data,” G3: Genes, Genomes, Genetics, vol. 9, no. 5, pp. 1377–1383, May 2019, doi: 10.1534/g3.119.400018.
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M. Behring et al., “Integrated Landscape of Copy Number Variation and RNA Expression Associated with Nodal Metastasis in Invasive Ductal Breast Carcinoma,” Oncotarget, vol. 9, no. 96, pp. 36836–36848, Dec. 2018, doi: 10.18632/oncotarget.26386.
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H. Kim, A. Grueneberg, A. I. Vazquez, S. Hsu, and G. de los Campos, “Will Big Data Close the Missing Heritability Gap?,” Genetics, vol. 207, no. 3, pp. 1135–1145, Nov. 2017, doi: 10.1534/genetics.117.300271.
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H. Koo, J. A. Hakim, P. R. E. Fisher, A. Grueneberg, D. T. Andersen, and A. K. Bej, “Distribution of Cold Adaptation Proteins in Microbial Mats in Lake Joyce, Antarctica: Analysis of Metagenomic Data by Using Two Bioinformatics Tools,” Journal of microbiological methods, vol. 120, pp. 23–28, 2016.
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M. D. Cain, J. R. Siebert, E. Iriabho, A. Gruneberg, J. S. Almeida, and O. M. Faye-Petersen, “Development of Novel Software to Generate Anthropometric Norms at Perinatal Autopsy,” Pediatric and Developmental Pathology, vol. 18, no. 3, pp. 203–209, 2015.
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D. E. Robbins, A. Grüneberg, H. F. Deus, M. M. Tanik, and J. Almeida, “TCGA Toolbox: An Open Web App Framework for Distributing Big Data Analysis Pipelines for Cancer Genomics,” in Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics, 2013, p. 62.
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D. E. Robbins, A. Grüneberg, H. F. Deus, M. M. Tanik, and J. S. Almeida, “A Self-Updating Road Map of The Cancer Genome Atlas,” Bioinformatics, vol. 29, no. 10, pp. 1333–1340, 2013.
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J. S. Almeida et al., “ImageJS: Personalized, Participated, Pervasive, and Reproducible Image Bioinformatics in the Web Browser,” Journal of pathology informatics, vol. 3, 2012.
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J. S. Almeida, A. Grüneberg, W. Maass, and S. Vinga, “Fractal MapReduce Decomposition of Sequence Alignment,” Algorithms for Molecular Biology, vol. 7, no. 1, p. 12, 2012.
Poster Presentations
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A. Grueneberg and J. Almeida, “A Minimal Governance Layer for the Web of Linked Data,” at CSHALS, Boston, MA, Feb. 2014.
Teaching
09/2016 to 10/2016 |
R Programming: Essentials and Basics |
Certifications
06/2010 |
Basics of Municipal Broadband Networks |
Selected MOOCs
10/2020 |
Fundamentals of Accelerated Computing with CUDA C/C++ |
05/2015 |
Data Analysis and Statistical Inference |
11/2013 |
Computing for Data Analysis |
03/2013 |
Data Analysis |
Fall 2013 |
Linguistics 102 - Speech Science |
Fall 2013 |
Linguistics 101 - Fundamentals |
12/2011 |
Machine Learning |
Other
Citizenship |
German |
Languages |
German (native), English (fluent), Korean (basic), Japanese (basic) |