Christoph Hafemeister

Alumn

M.Sc. Bioinformatics, Freie Universität Berlin, 2008.
Now: Postdoctoral research associate at the New York Genome Center.

E-mail: hafemeis@molgen.mpg.de

Christoph received his M.Sc. in bioinformatics from Freie Universität Berlin in 2008.

He is interested in machine learning, model development and comparison, clustering and clustering evaluation and graph algorithms. During his Masters studies he focused on courses like Pattern Recognition, Artificial Intelligence, and Visualization of Scientific Data, as well as Advanced Algorithms in Bioinformatics, Sequence and Structure Analysis, and Medical Image Processing.

Here in the Algorithmics Group at the Department of Computational Biology Christoph works on the General Hidden Markov Model (GHMM) library, the visualization and analyzation of gene expression patterns, and sequence analysis for the efficient computation of probe qualities for microarray design.

He obtained his PhD from NYU and is now a Postdoctoral research associate at the New York Genome Center.

Publications

Hafemeister et al.. Selecting oligonucleotide probes for whole-genome tiling arrays with a cross-hybridization potential. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2011, 8:6, 1642–1652.

Hafemeister et al.. Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions. Bioinformatics 2011, 27:7, 946–52.

Costa et al.. Constrained Mixture Estimation for Analysis and Robust Classification of Clinical Time Series. Bioinformatics 2009, 12:25, i6–14. (ISMB 2009).

Hafemeister. Efficient Computation of Probe Qualities. Master's Thesis, Freie Universität Berlin, May 2008.

Costa et al.. Inferring differentiation pathways from gene expression. Bioinformatics 2008, 24:13, i156–164.