Portrait von Prof. Dr. Justo Lorenzo Bermejo
Prof. Dr. Justo Lorenzo Bermejo

Scientific Staff (Medical Biometry)


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

+49 6221 56-4180

Head of Statistical Genetics Group Research Projects

Medical/Professional background


Professorship, University of Heidelberg


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


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