• M. Sc. Studiengang "Applied Statistics"

  deutsch englisch Eine Bewerbung für das Wintersemester ist jeweils vom 1. April bis 15. Mai eines Jahres möglich!
  

Dr. Andreas Leha

Leiter der wissenschaftlichen Serviceeinrichtung
Medizinische Biometrie und Statistische Bioinformatik

Telefon:

0551-39-4987

Fax:

0551-39-4995

E-Mail:

Andreas.Leha@med.uni-goettingen.de

Raum:

Humboldtallee 32, EG, 162

Forschungsinteressen

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

Lehre

Wintersemester 2019/2020

• Neuroscience: Introduction to Statistics
  Kursmaterial
• Doktorandenseminar im Zentrum ZMK: Einführung in die Biometrie
  Kursmaterial

Wintersemester 2018/2019

• Neuroscience: Introduction to Statistics
  Kursmaterial

Wintersemester 2017/2018

• Neuroscience: Einführung in die Statistik
  

Kurze Vita:

• 03/2016 - dato: Leiter der wissenschaftlichen Serviceeinrichtung Medizinische Biometrie und Statistische Bioinformatik in der Abteilung Medizinische Statistik der Universität Göttingen.
• 04/2014-03/2016: Postdoctoral Fellow in der Durbin Group am Sanger Institute, Hinxton, Cambridge, UK.
• 01/2013-13/2014: Wissenschaftlicher Mitarbeiter in der Serviceeinrichtung Medizinische Biometrie und Statistische Bioinformatik in der Abteilung Medizinische Statistik der Universität Göttingen.
• 11/2009-12/2012: Wissenschaftlicher Mitarbeiter in der Abteilung Medizinische Statistik der Universität Göttingen.
• 03/2009-10/2009: Studentische Hilfskraft in der Intelligent Autonomous Systems Group unter Michael Beetz am Institut Informatik IX Bildverarbeitung und wissensbasierte Systeme an der Technischen Universität München
• 04/2006-07/2007: Studentischer Mitarbeiter im Power Transmission and Distribution Development Laboratory der SIEMENS AG
• 09/2005-10/2009: Studium der Informatik an der Technischen Universität München
• 09/2003-08/2005: Studium der Mathematik an der Universität Bayreuth
• 09/1993-09/2002: Maristengynmasium, Fürstenzell
• Feb. 9., 1983: Geboren in Forchheim, Deutschland

Abschlüsse:

• PhD in Bioinformatik (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"
• Diplom (Master) in Informatik - 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"
• Vordiplom in Mathematik - 08/2005
  Universität Bayreuth. Schwerpunkte: Stochastik, Statistik. (Mark: 1,4)
  

Ausgewählte Publikationen

1. Biomarkers predict outcome in Charcot Marie Tooth Disease 1A
   Robert Fledrich, Manoj Mannil, Andreas Leha, Caroline Ehbrecht, Alessandra Solari, Ana L. Pelayo-Negro, José Berciano, Beate Schlotter-Weigel, Tuuli J. Schnizer, Thomas Prukop, Natalia Garcia-Angarita, Dirk Czesnik, Jana Haberlová1, Radim Mazanec1, Walter Paulus, Tim Beissbarth, Maggie C. Walter, CMT-TRIAAL, Jean-Yves Hogrel, Odile Dubourg, Angelo Schenone, Jonathan Baets, Peter De Jonghe, Michael E. Shy, Rita Horvath, Davide Pareyson, Pavel Seeman, Peter Young, and Michael W. Sereda
   Journal of Neurology, Neurosurgery & Psychiatry, 2017, in Press, Shared First
2. Common genetic variation drives molecular heterogeneity in human iPSCs
   Helena Kilpinen, Angela Goncalves, Andreas Leha, Vackar Afzal, Kaur Alasoo, Sofie Ashford, Sendu Bala, Dalila Bensaddek, Francesco Paolo Casale, Oliver J. Culley, Petr Danecek, Adam Faulconbridge, Peter W. Harrison, Annie Kathuria, Davis McCarthy, Shane A. McCarthy, Ruta Meleckyte, Yasin Memari, Nathalie Moens, Filipa Soares, Alice Mann, Ian Streeter, Chukwuma A. Agu, Alex Alderton, Rachel Nelson, Sarah Harper, Minal Patel, Alistair White, Sharad R. Patel, Laura Clarke, Reena Halai, Christopher M. Kirton, Anja Kolb-Kokocinski, Philip Beales, Ewan Birney, Davide Danovi, Angus I. Lamond, Willem H. Ouwehand, Ludovic Vallier, Fiona M. Watt, Richard Durbin, Oliver Stegle, and Daniel J. Gaffney
   Nature, 2017, 546, 370-375
3. A high-content platform to characterise human induced pluripotent stem cell lines
   Andreas Leha, Nathalie Moens, Ruta Meleckyte, Oliver J. Culley, Mia K. Gervasio, Maximilian Kerz, Andreas Reimer, Stuart A. Cain, Ian Streeter, Amos Folarin, Oliver Stegle, Cay M. Kielty, HipSci Consortium, Richard Durbin, Fiona M. Watt, and Davide Danovi
   Methods, 2016 Mar 1;96:85-96
4. Comprehensive identification of genes driven by ERV9-LTRs reveals TNFRSF10B as a re-activatable mediator of testicular cancer cell death Ulrike Beyer, Sonja K. Krönung, Andreas Leha, Lutz Walter, and Matthias Dobbelstein
   Cell Death and Differentiation, 2016, 23, 64-75
5. Interactions of human MSC with head and neck squamous cell carcinoma cell line PCI-13 reduce markers of epithelia-mesenchymal transition
   Florian Böhrnsen, Martin Fricke, Charlotte Sander, Andreas Leha, Henning Schliephake, and Franz-Joseph Kramer
   Clinical Oral Investigations, 2014, pp. 1-8
6. Integrated miRNA and mRNA profiling of tumor-educated macrophages identifies prognostic subgroups in estrogen receptor-positive breast cancer.
   Bleckmann A, Leha A, Artmann S, Menck K, Salinas-Riester G, Binder C, Pukrop T, Beißbarth T*, Klemm F*.
   Mol Oncol, 2015, 9(1):155-66.
7. Identification of a DNA methylation signature to predict disease-free survival in locally advanced rectal cancer.
   Gaedcke J, Leha A, Claus R, Weichenhan D, Jung K, Kitz J, Grade M, Wolff HA, Jo P, Doyen J, Gérard JP, Johnsen SA, Plass C, Beißbarth T, Ghadimi M.
   Oncotarget, 2014, 5(18):8123-35.
8. Selected items from the Charcot-Marie-Tooth (CMT) Neuropathy Score and secondary clinical outcome measures serve as sensitive clinical markers of disease severity in CMT1A patients.
   Mannil M, Solari A, Leha A, Pelayo-Negro AL, Berciano J, Schlotter-Weigel B, Walter MC, Rautenstrauss B, Schnizer TJ, Schenone A, Seeman P, Kadian C, Schreiber O, Angarita NG, Fabrizi GM, Gemignani F, Padua L, Santoro L, Quattrone A, Vita G, Calabrese D; CMT-TRIAAL/CMT-TRAUK Group, Young P, Laurà M, Haberlová J, Mazanec R, Paulus W, Beißbarth T, Shy ME, Reilly MM, Pareyson D, Sereda MW.
   Neuromuscul Disord, 2014, 24(11):1003-17.
9. Gender affects acute organ toxicity during radiochemotherapy for rectal cancer: long-term results of the German CAO/ARO/AIO-94 phase III trial.
   Wolff HA, Conradi LC, Beißbarth T, Leha A, Hohenberger W, Merkel S, Fietkau R, Raab HR, Tschmelitsch J, Hess CF, Becker H, Wittekind C, Sauer R, Rödel C, Liersch T; German Rectal Cancer Study Group.
   Radiother Oncol, 2013, 108(1):48-54.
10. Improvement of Renal Graft Function After Conversion From a Calcineurin Inhibitor Including Immunosuppression to a Mycophenolate Sodium Including Regimen: A 4-year Follow-up
    Michael H J Heeg, Gerhard A Mueller, Carsten Bramlage, Kia Homayounfar, Johannes Muehlhausen, Andreas Leha, and Michael J Koziolek
    Transplantation Proceedings, 2013, 45.1, pp. 142-147
11. Sequential Interim Analyses of Survival Data in DNA Microarray Experiments.
    Leha A, Beißbarth T, Jung K.
    BMC Bioinformatics, 2011, 12(1):127.
12. Optimization of simulated production process performance using machine learning
    Andreas Leha, Dejan Pangercic, Thomas Rühr, and Michael Beetz
    IEEE Conference on Emerging Technologies Factory Automation, 2009. ETFA 2009, pp. 1-5
13. Parallelizing Scientific Code with Invasive Interactive Parallelization: A Case Study with Reuseware
    Andreas Leha, Mikhail Chalabine, and Christoph Kessler
    Proceedings of the 2008 compFrame/HPC-GECO Workshop on Component Based High Performance. CBHPC 08, 2008, 5:1-5:10.

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