Education

Mar 2024 - Jun 2024

Exchange Semester
School of Computing, Korea Advanced Institute of Science and Technology (KAIST)
Daejeon, South Korea

GPA: 3.66

Oct 2022 - Feb 2024

M.Sc. Computer Science
Hochschule Furtwangen University
Furtwangen, Germany

Grade: 1.3

Thesis: An empirical evaluation of data lakehouse table formats, advised by Prof. Dr. Lothar Piepmeyer and Dr. Andreas Weininger (IBM)

Oct 2007 - Aug 2011

B.Sc. Computer Science (Online Media)
Hochschule Furtwangen University
Furtwangen, Germany

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

May 2015 to
July 2022

Scientific Programmer at Michigan State University, Department of Epidemiology and Biostatistics, QuantGen Lab
East Lansing, MI

Mar 2011 to
May 2015

Scientific Programmer at University of Alabama at Birmingham, Department of Pathology, Division of Informatics
Birmingham, AL

Mar 2009 to
Feb 2011

Student Research Assistant at Research Center for Intelligent Media, Hochschule Furtwangen University
Furtwangen, Germany

Sep 2008 to
Feb 2009

Intern at CAS Software AG
Karlsruhe, Germany

Jun 2004 to
Sep 2008

Web Developer at trenovis OHG
Villingen-Schwenningen, Germany

Volunteer Work

2013 to 2019

AnkiDroid, a spaced repetition flashcard app for Android with over a million users

2014 to 2015

Code for Birmingham, a Code for America brigade

Publications

  1. 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].

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. J. S. Almeida et al., “ImageJS: Personalized, Participated, Pervasive, and Reproducible Image Bioinformatics in the Web Browser,” Journal of pathology informatics, vol. 3, 2012.

  13. 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

  1. A. Grueneberg and J. Almeida, “A Minimal Governance Layer for the Web of Linked Data,” at CSHALS, Boston, MA, Feb. 2014.

Teaching

Sep 2016 to Oct 2016

R Programming: Essentials and Basics
5-week course parallel to EPI 855 ("Biostatistical Modeling in Genomic Data Analysis") led by Ana I. Vazquez, PhD in the Department of Epidemiology and Biostatistics, Michigan State University

Certifications

Jun 2010

Basics of Municipal Broadband Networks
Ministry for Rural Area, Food, and Consumer Protection in Baden-Württemberg, Germany

Selected MOOCs

Oct 2020

Fundamentals of Accelerated Computing with CUDA C/C++
NVIDIA Deep Learning Institute

May 2015

Data Analysis and Statistical Inference
Duke University, Coursera

Nov 2013

Computing for Data Analysis
The Johns Hopkins University, Coursera

Mar 2013

Data Analysis
The Johns Hopkins University, Coursera

Fall 2013

Linguistics 102 - Speech Science
The Virtual Linguistics Campus, Philipps Universität Marburg

Fall 2013

Linguistics 101 - Fundamentals
The Virtual Linguistics Campus, Philipps Universität Marburg

Dec 2011

Machine Learning
ml-class.org, now Coursera

Other

Citizenship

German

Languages

German (native), English (fluent), French (proficient), Korean (basic), Japanese (basic)