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Stefan Gruenewald
stefan@picb.ac.cn
English, German, Chinese
Shanghai

Academic Information

University of Chinese Academy of Sciences
Life Sciences
  • 1998-07--2001-02 PhD in Mathematics: Universität Bielefeld
  • 2020-01~Present - Shanghai Institute of Nutrition and Health - Principal Investigator
  • 2006-10~2019-12 - CAS-MPG Partner Institute of Computational Biology - Principal Investigator
  • 2005-10~2006-09 - CAS-PICB Partner Institute of Computational Biology - Postdoc
  • 2004-08~2005-06 - University Of Canterbury - Postdoc
  • 2003-04~2004-07 - Uppsala University - Postdoc
  • 2001-04~2003-03 - Universität Bielefeld - Postdoc

Research

Computational Biology - Phylogenetic Combinatorics
  • Lpnet: Reconstructing phylogenetic networks from distances using integer linear programming, Stefan Gruenewald, 2023
  • A genome-wide association study of facial morphology identifies novel genetic loci in Han Chinese, Stefan Gruenewald, 2021
Keywords
Computational Biology Phylogenetics Combinatorics Bioinformatics Evolutionary Biology Genomics Mathematical Biology Algorithms Data Analysis Biostatistics
Related Professors
Ruixin Zhu - Tongji University
Area of Focus
Metagenomics | Algorithms | Microbiome | Drug Development | Eukaryotic Evolution | Traditional Chinese Medicine | Systems Biology | Computational Chemistry | Bioinformatics | Pharmacogenomics
Jianwei Liu - Central South University
Area of Focus
Hospital | Information | Management | Informatics | Data | Structures | Algorithms | Bioinformatics | Technology | Systems
Yudong Cai - Shanghai University
Area of Focus
Cancer | Genomics | Data Analysis | Sequencing | Clinical Data | Bioinformatics Tools | Computational Methods | Research | Development | Innovation | Microbial | Covid-19 | Pathogens | Infectious Diseases | Public Health | Epidemiology | Protein Design | Computational Tools | Molecular Dynamics | Simulation | Structure Prediction | Bioengineering | Synthetic Biology | Machine Learning | Algorithms | Data Mining | Predictive Modeling | Neural Networks | Deep Learning | Bioinformatics | Proteomics | Systems Biology | Natural Computing | Computational Models | Bio-Inspired | Genetic Algorithms | Optimization | Artificial Intelligence
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