Personal information

Genetics, Statistics, Machine Learning, Bioinformatics, Computational Biology, Genomics, Deep Learning, Medical Imaging
Germany

Activities

Employment (6)

Icahn School of Medicine at Mount Sinai: New York, New York, US

2020-07-01 to present | Adjunct Professor (Hasso Plattner Institute for Digital Health at Mount Sinai)
Employment
Source: Self-asserted source
Christoph Lippert

Universität Potsdam: Potsdam, Brandenburg, DE

2018-10-01 to present | Chair of Digital Health & Machine Learning (Digital Engineering Faculty)
Employment
Source: Self-asserted source
Christoph Lippert

Hasso Plattner Insitute for Digital Engineering gGmbH: Potsdam, Brandenburg, DE

2018-09-01 to present | Professor and Department Chair (Digital Health & Machine Learning)
Employment
Source: Self-asserted source
Christoph Lippert

Max DelbrĂĽck Centrum fĂĽr Molekulare Medizin Berlin Buch: Berlin-Buch, Berlin, DE

2017-11-01 to 2018-09-30 | Group Leader (Statistical Genomics Group)
Employment
Source: Self-asserted source
Christoph Lippert

Human Longevity Inc: San Diego, CA, US

2015 to 2017-11-10
Employment
Source: Self-asserted source
Christoph Lippert

Microsoft Research: Los Angeles, CA, US

2012 to 2015 | Researcher (eScience)
Employment
Source: Self-asserted source
Christoph Lippert

Works (50 of 57)

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Page 1 of 2

Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification

Diagnostics
2022-05-16 | Journal article
Contributors: Aiham Taleb; Csaba Rohrer; Benjamin Bergner; Guilherme De Leon; Jonas Almeida Rodrigues; Falk Schwendicke; Christoph Lippert; Joachim Krois
Source: check_circle
Crossref

Multimodal Self-supervised Learning for Medical Image Analysis

2021 | Book chapter
Contributors: Aiham Taleb; Christoph Lippert; Tassilo Klein; Moin Nabi
Source: check_circle
Crossref

TransferGWAS: GWAS of images using deep transfer learning

2021-10-24 | Preprint
Contributors: Matthias Kirchler; Stefan Konigorski; Matthias Norden; Christian Meltendorf; Marius Kloft; Claudia Schurmann; Christoph Lippert
Source: check_circle
Crossref

Machine learning-based prediction of motor status in glioma patients using diffusion MRI metrics along the corticospinal tract

2021-08-30 | Other
Contributors: Boshra Shams; Ziqian Wang; Timo Roine; Baran Aydogan; Peter Vajkoczy; Christoph Lippert; Thomas Picht; Lucius S. Fekonja
Source: check_circle
Crossref

Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes

2021-05-27 | Preprint
Contributors: Remo Monti; Pia Rautenstrauch; Mahsa Ghanbari; Alva Rani James; Uwe Ohler; Stefan Konigorski; Christoph Lippert
Source: check_circle
Crossref

HistoFlow: Label-Efficient and Interactive Deep Learning Cell Analysis

2020-07-15 | Preprint
Contributors: Tim Henning; Benjamin Bergner; Christoph Lippert
Source: check_circle
Crossref

Ensembles of Lasso Screening Rules

IEEE Transactions on Pattern Analysis and Machine Intelligence
2018-12-01 | Journal article
Contributors: Seunghak Lee; Nico Gornitz; Eric P. Xing; David Heckerman; Christoph Lippert
Source: check_circle
Crossref

Identification of individuals by trait prediction using whole-genome sequencing data.

Proceedings of the National Academy of Sciences of the United States of America
2017-09 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

No major flaws in “Identification of individuals by trait prediction using whole-genome sequencing data”

2017-09-11 | Preprint
Contributors: Christoph Lippert; Riccardo Sabatini; M. Cyrus Maher; Eun Yong Kang; Seunghak Lee; Okan Arikan; Alena Harley; Axel Bernal; Peter Garst; Victor Lavrenko et al.
Source: check_circle
Crossref

easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies

The Plant Cell
2017-01 | Journal article
Contributors: Dominik G. Grimm; Damian Roqueiro; Patrice A. Salomé; Stefan Kleeberger; Bastian Greshake; Wangsheng Zhu; Chang Liu; Christoph Lippert; Oliver Stegle; Bernhard Schölkopf et al.
Source: check_circle
Crossref

Computational and statistical issues in personalized medicine

XRDS: Crossroads, The ACM Magazine for Students
2015 | Journal article
Source: Self-asserted source
Christoph Lippert

Finding Sparse Features in Strongly Confounded Medical Binary Data

NIPS workshop on Machine Learning For Healthcare (MLHC)
2015 | Conference paper
Source: Self-asserted source
Christoph Lippert

Sparse Estimation in a Correlated Probit Model

arXiv preprint arXiv:1507.04777
2015 | Journal article
Source: Self-asserted source
Christoph Lippert

Efficient set tests for the genetic analysis of correlated traits

Nature Methods
2015-08-15 | Journal article
Contributors: Francesco Paolo Casale; Barbara Rakitsch; Christoph Lippert; Oliver Stegle
Source: check_circle
Crossref

Accurate liability estimation improves power in ascertained case-control studies

Nature Methods
2015-04-09 | Journal article
Contributors: Omer Weissbrod; Christoph Lippert; Dan Geiger; David Heckerman
Source: check_circle
Crossref

Accurate Liability Estimation Substantially Improves Power in Ascertained Case Control Studies

arXiv preprint arXiv:1409.2448
2014 | Journal article
Source: Self-asserted source
Christoph Lippert

Further improvements to linear mixed models for genome-wide association studies.

Scientific reports
2014 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Genetic analysis of transformed phenotypes

arXiv preprint arXiv:1402.5447
2014 | Journal article
Source: Self-asserted source
Christoph Lippert

Warped linear mixed models for the genetic analysis of transformed phenotypes.

Nature communications
2014 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.

Bioinformatics (Oxford, England)
2014-11 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Quantifying the uncertainty in heritability.

Journal of human genetics
2014-05 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Epigenome-wide association studies without the need for cell-type composition.

Nature methods
2014-03 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control.

eLife
2013 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

An exhaustive epistatic SNP association analysis on expanded Wellcome Trust data.

Scientific reports
2013 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

CORRIGENDUM: An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data.

Scientific reports
2013 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals

Advances in Neural Information Processing Systems
2013 | Conference paper
Source: Self-asserted source
Christoph Lippert

Linear mixed models for genome-wide association studies

2013 | Dissertation or Thesis
Source: Self-asserted source
Christoph Lippert

The benefits of selecting phenotype-specific variants for applications of mixed models in genomics.

Scientific reports
2013 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

A powerful and efficient set test for genetic markers that handles confounders.

Bioinformatics (Oxford, England)
2013-06 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Detecting regulatory gene-environment interactions with unmeasured environmental factors.

Bioinformatics (Oxford, England)
2013-06 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

FaST-LMM-Select for addressing confounding from spatial structure and rare variants.

Nature genetics
2013-05 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Patterns of methylation heritability in a genome-wide analysis of four brain regions.

Nucleic acids research
2013-02 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

A Lasso multi-marker mixed model for association mapping with population structure correction.

Bioinformatics (Oxford, England)
2013-01 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

A mixed model approach for joint genetic analysis of alternatively spliced transcript isoforms using RNA-Seq data

arXiv preprint arXiv:1210.2850
2012 | Journal article
Source: Self-asserted source
Christoph Lippert

An efficient group test for genetic markers that handles confounding

ArXiv
2012 | Journal article
Source: Self-asserted source
Christoph Lippert

easyGWAS: an integrated interspecies platform for performing genome-wide association studies

arXiv preprint arXiv:1212.4788
2012 | Journal article
Source: Self-asserted source
Christoph Lippert

Efficient Association Analysis for Groups of Genetic Markers that Avoids Confounding by Genetic Structure

GENETIC EPIDEMIOLOGY
2012 | Conference paper
Source: Self-asserted source
Christoph Lippert

Extraneous markers used for genetic similarity leads to loss of power in GWAS and heritability determination

2012 | Journal article
Source: Self-asserted source
Christoph Lippert

Identifying causal genetic markers for a specified phenotype

2012-09 | Other
Source: Self-asserted source
Christoph Lippert

Improved linear mixed models for genome-wide association studies.

Nature methods
2012-05 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Efficient inference in matrix-variate Gaussian models with iid observation noise

NIPS 2011: Neural Information Processing Systems
2011 | Conference paper
Source: Self-asserted source
Christoph Lippert

FaST linear mixed models for genome-wide association studies.

Nature methods
2011 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Whole-genome sequencing of multiple Arabidopsis thaliana populations.

Nature genetics
2011-10 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

Gene function prediction from synthetic lethality networks via ranking on demand.

Bioinformatics (Oxford, England)
2010-04 | Journal article
Source: Self-asserted source
Christoph Lippert via Europe PubMed Central

A kernel method for unsupervised structured network inference

AISTATS’09: Artificial Intelligence and Statistics
2009 | Journal article
Source: Self-asserted source
Christoph Lippert

Predicting related traits from SNP markers by multi-task learning

German Conference on Bioinformatics 2009
2009 | Conference paper
Source: Self-asserted source
Christoph Lippert

Relational models for generating labeled real-world graphs

MLG-2009: Mining and Learning on Graphs
2009 | Conference paper
Source: Self-asserted source
Christoph Lippert

Relation prediction in multi-relational domains using matrix factorization

Proceedings of the NIPS 2008 Workshop: Structured Input-Structured Output, Vancouver, Canada
2008 | Conference paper
Source: Self-asserted source
Christoph Lippert

Relational Learning with Matrix Factorization

2008 | Dissertation or Thesis
Source: Self-asserted source
Christoph Lippert

ECCB12 tutorial: GWAS

Journal article
Source: Self-asserted source
Christoph Lippert
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