Full name: Alexander Schönhuth
Formal name: Dr. A. Schönhuth
Function: Scientific Staff Member

Telephone: +31(0)20 592 4113
Room: M243
Research groups: Life Sciences

Research

Alexander Schoenhuth's research is centered around biological sequence analysis as well as statistical learning and modeling. His particular theoretical expertise is on hidden Markov processes and related stochastic concepts, combined with an interest in algebraic statistics. In applications, his research interests comprise personalized medicine, in particular cancer biology as well as comparative and evolutionary (epi-)genomics. A special current focus of his are mathematical and computational approaches in high-throughput genomics, in particular as enabled by next-generation sequencing technology.

Career

2013 -	Scientific staff member LS - Life sciences
2012	Scientific staff member MAC4 - Life Sciences
2012 - 2013	Scientific staff member MAC4 - Life Sciences
2010 -	Scientific staff member/tenure track MAC4 - Life Sciences
2009 - 2010	Postdoctoral scholar, Department of Mathematics, UC Berkeley
2007 - 2009	Postdoctoral scholar, School of Computing Science, Simon Fraser University
1999 - 2007	Scientific assistant, Center for Applied Computer Science, University Cologne

Selected Awards and Honours

2009	David DesJardins, Google Inc. (private donation - postdoctoral fellowship)
2007	Pacific Institute of the Mathematical Sciences (postdoctoral fellowship)

Recent Publications

I. Hajirasouliha, A. Schoenhuth, D. Juan, A. Valencia, S.C. Sahinalp. Mirroring trees in the light of their topologies. Bioinformatics 28, 1202–1208, 2012.

T. Marschall, I.G. Costa, S. Canzar, M. Bauer, G.W. Klau, A. Schliep, A. Schoenhuth. CLEVER: Clique-Enumerating Variant Finder. Bioinformatics 28, 2875–2882, 2012.

U. Faigle, A. Schoenhuth. Representation of Power Series over Word Algebras. Proceedings of Cologne-Twente Workshop on Graphs and Combinatorial Optimization 2011 (10), Villa Mondragone, Frascati, 154–158, 2011.

A. Engström, M. Singer, L. Pachter, A. Schoenhuth. Determining coding CpG islands by identifying regions significant for pattern statistics on Markov chains. Statistical Applications in Genetics and Molecular Biology 10, 1–43, 2011.

C. Hafemeister, I.G. Costa, A. Schoenhuth, A. Schliep. Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions. Bioinformatics 27, 946–952, 2011.

All publications (link to repository)