Uchenna Alex Anyaegbunam is a Bioinformatics Data Scientist with a strong quantitative background obtained from training in Physics (B.Sc), Applied Mathematics (M.Sc), and Computational Biology (Ph.D.). Over the last 6 years, he has handled many data analysis projects during his Doctoral and Postdoctoral research.
Jean-Fred Fontaine is a Computer and Data Scientist working
at the Central Institute for Decision Support Systems in Crop Protection. He
builds decision-support systems for the farming industry, analytics, predictive
modeling and AI to transform field data into the right piece of advice. His
skills and expertise are in Computer Science, Image Analysis, Image Processing,
Data Science, and Big Data Analytics. He worked at Johannes Gutenberg
University Mainz from 2014 to 2022. His team works on projects related to Data
Science and Bioinformatics. The structured and unstructured data is generated
by social networks, bio-technologies such as next-generation sequencers, or
integrated from large scientific databases (e.g., genomes, genes, mutations,
drugs, or protein networks). His methods and software for Big Data integration
and analysis allow the data to generate insights and discover new trends and
associations. He is also involved in teaching Programming, Data Analysis or
Bioinformatics.
Ute Distler is a Post-Doctorate at the Institute for Immunology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany. She is also the Deputy head of the Core Facility. Her research interests include method development for DIA-based proteomics, neuroproteomics, and interactomics.
Laura Bindila is a Scientist within the Luxembourg Clinical Proteomics laboratory at the Centre de Recherche Publique de la Sante, Strassen, Luxembourg. She completed her Ph.D. program at the University of Munster, Institute for Medical Physics and Biophysics and defended her thesis at the Babes Bolyai University of Cluj Napoca, Romania. She continued her postdoctoral and scientific career at the University of Munster until January 2010, when she moved to the Luxembourg Clinical Proteomics laboratory. She has published more than 25 articles, including reviews and has taught for more than 5 years. A member of the graduate school in Molecular and Cellular Glyco-Sciences (University of Munster), she has served as a member of Erasmus exchange programs between European universities. She served as a reviewer of peer-reviewed journals in the areas of glycobiology, lipidomics and proteomics. She is a member of the organizing committee of the Summer School for Mass Spectrometry in Biotechnology and Medicine.
Philipp Wild is a Ph.D. at the Institute for Medical Biostatistics, Epidemiology and Informatics, Johannes Gutenberg Universitat Mainz, Zentrum für Kardiologie, Mainz, Germany. He studied at the Philipps-Universität Marburg in Marburg, Hessen, Germany. His research interests include the prevention of cardiovascular diseases and oral anticoagulation.
Miguel A. Andrade-Navarro received his Ph.D. in Biochemistry at the Universidad Complutense de Madrid in 1994. He trained at the post-doctoral level at the European Molecular Biology Laboratory in Heidelberg and Cambridge with Chris Sander and Peer Bork. His post-doctoral studies involved the development and application of computational methods for the analysis of gene and protein function and structure. From 2003 to 2007, he was Assistant Professor in the Department of Medicine of the University of Ottawa and Scientist and Head of the Bioinformatics Group of the Ottawa Health Research Institute in Ottawa, Canada, where he was promoted to Senior Scientist in 2006. In 2007, he started the Computational Biology and Data Mining group, first at the Max Delbrück Center for Molecular Medicine in Berlin and since September 2014 at the Faculty of Biology of the Johannes Gutenberg University in Mainz, where he is a professor of bioinformatics.
