Prof. Dr. Justo Lorenzo Bermejo
Scientific Staff
(Medical Biometry)
Focus
Robust and Bayesian methods in Statistical Genetics, Identification of genetic and epigenetic markers for a personalized prevention and treatment of gallbladder cancer, (Epi)genetic characterization of breast cancer in Colombia
Medical/Professional background
- 2015
Professorship, University of Heidelberg
- 2010
Habilitation (Postdoctoral thesis) in Epidemiology and Medical Biometry
Heidelberg Medical Faculty- since 2009
Leader of the Statistical Genetics Research Group
Institute of Medical Biometry
Heidelberg University- since 2003
Scientist, Research Group Molecular Genetics of Breast cancer and Division of Molecular Genetic Epidemiology, German Cancer Research Center
- 2002 – 2003
Three-month research stay at Karolinska Institutet, Sweden
Statistical Consultant at the IT company ‘Information-Works GmbH’, Hamburg, Germany
and lecturer in Data Mining at the Institute of Business Information Technology, University of Hamburg, Germany- 1998 – 2002
PhD in Quantitative Genetics, University of Kiel, Germany
- 1996
Master of Business Administration, Business School of Las Palmas de Gran Canaria, Spain
- 1993 – 2003
Mathematics, Spanish Open University, Spain
- 1990 – 1997
Engineering, Polytechnic University of Madrid, Spain
Teaching Portfolio
- since 2014
Introduction to Bioinformatics, Master in Medical Biometry/Biostatistics, University of Heidelberg
- since 2012
Biostatistics, Statistical Genetics and Genetic Epidemiology, Postgraduate course on Medical Informatics, Universidad de Chile, Santiago de Chile
Introduction to Bayesian Statistics, Master in Medical Biometry/Biostatistics, University of Heidelberg- since 2011
Genetic Epidemiology, Master of Science in Epidemiology, Institute of Medical Biometry, Epidemiology and Informatics, Mainz Medical University
Statistical Genetics and Genetic Epidemiology, Master in Medical Informatics, University of Heidelberg- since 2008
Epidemiology, Major in Cancer Biology organized by the Faculty of Biosciences, University of Heidelberg, in collaboration with the German Cancer Research Center
- 2006 – 2008
Genetic Epidemiology, Tampere School of Public Health, Finland
- since 2005
Medical Biometry and Epidemiology, Medical Faculty, University of Heidelberg, Germany
Postgraduate supervision
- since 2021
Renzo Sadath Salazar Sánchez: Identification of circulating micro-RNAs causally associated with gallbladder cancer and development of a multifactorial risk prediction score
- since 2020
Constanza Fabiola González: Gallstone disease, prophylactic cholecystectomy and risk of cancer in the Chilean population
- since 2020
Alice Blandino: Identification and validation of circulating small non-coding RNAs associated with gallbladder cancer risk
- since 2019
Valentina Gárate: Genetic and genomic characterization of Chilean gallbladder cancer patients
- since 2018
Linda Zollner: Analysis of the causal relationship between genetic origin and common diseases in South America
- 2017 – 2020
Heike Deutelmoser: Development and application of robust regularized regression methods in multi-omics cancer studies
- 2016 – 2019
Karen García Mesa: Interaction between genetic Genetic ancestry and breast cancer in Colombia
- 2015 – 2020
Carol Barahona Ponce: Identification of factors causally linked to the risk of gallbladder cancer by means of mendelian randomization
- 2015 – 2020
Felix Boekstegers: Novel methods for local ancestry estimation and mapping
- 2015 – 2019
Regina Brinster: Robust principal component analysis and genetic data integration
- 2014 – 2019
Rosa González Silos: Association tests based on allele counts for DNA sequence data
- 2014 – 2018
Pablo Felipe Báez Benavides: Linkage and association analysis towards identification of genetic markers of cholelithiasis and gallbladder cancer risk in Chile
- 2013 – 2015
Maria Kabisch: Development and application of tailored statistical methods to identify genetic variants that modify breast cancer risk and outcome after adjuvant treatment with tamoxifen
- 2012 – 2016
Miriam Kesselmeier: Robust generalized linear models in the framework of statistical genetics
- 2011 – 2014
Barbara Peil: Selection of study individuals to be sequenced in order to improve imputation accuracy