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Andreas Leha

Dr. Andreas Leha

Head of the Scientific Core Facility Medical Biometry and Statistical Bioinformatics


telephone: +49 551 39-64829

fax: +49 551 3965605

e-mail address: andreas.leha(at)med.uni-goettingen.de

location: Humboldtallee 32, EG 152

[Translate to Englisch:] Porträt von Dr. Andreas Leha, Institut für Medizinische Statistik

Short biography

[since 03/2016]

Head of the Core Facility Medical Biometry and Statistical Bioinformatics in the department of Medical Statistics at the University of Göttingen.

[04/2014-03/2016]

Postdoctoral Fellow in the Durbin Group at the Sanger Institute, Hinxton, Cambridge, UK.

[01/2013-13/2014]

Staff Scientist in the Core Facility Medical Biometry and Statistical Bioinformatics in the department of Medical Statistics at the University of Göttingen.

[11/2009-12/2012]

Research Assistant in the department of Medical Statistics at the University of Göttingen.

[03/2009-10/2009]

Student Research Assistant in the Intelligent Autonomous Systems Group headed by Michael Beetz at the Institute Informatik IX Image Understanding and Knowledge-Based Systems at the Technical University Munich

[04/2006-07/2007]

Internship at the Power Transmission and Distribution Development Laboratory at the SIEMENS AG

[09/2005-10/2009]

Study of Computer Science at the Technical University Munich

[09/2003-08/2005]

Study of Mathematics at the University Bayreut

Research interests

  • Computational Genomics
  • Statistical Data Analysis with High Dimensional Data
  • Data Mining, Machine Learning
  • Data Visualization
  • Reproducible Research
  • Parallelization, High Performance Computing

Teaching

Winter Term 2019/2020

  • Neuroscience: Introduction to Statistics
  • PhD candidate seminar at the ZMK: Introduction to Biometry

Winter Term 2018/2019

  • Neuroscience: Introduction to Statistics

Winter Term 2017/2018

  • Neuroscience: Introduction to Statistics

Degrees

  • PhD in Bioinformatics (Dr. rer nat) - 03.2014
    Universität Göttingen (summa cum laude)
    Thesis (English): "Statistical Methods to Enhance Clinical Prediction with High-Dimensional Data and Ordinal Response" 
  • Diploma (Master) in Informatics - 10/2009
    Technische Universität München. Schwerpunkte: AI, Machine Learning, Parallelisierung. (Note: 1,5)
    Thesis (English): "Knowledge representation and learning algorithms utilising Robot Learning Language in the Cognitive Factory" 
  • Pre-diploma in Mathematics - 08/2005
    University Bayreuth. Subjects: Stochastics, Statistics (Mark: 1,4)

Publications

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