People of the BCF and Delorenzi's Research Group
From left to right
4th line: Darlene and Sylvain
...............3rd line: Pierre, Fred and Alexandre
2nd line: Vlad, Eugenia and Thierry
.......1st line: Asa, Mauro and Mohamed
Mauro Delorenzi
is a junior group leader at ISREC and head of the BCF.
Trained as an experimental biologist, Mauro later moved into bioinformatics and statistics. He has a broad interest in the application of mathematical techniques for the understanding of experimental data.
His research currently focuses on the statistical analysis of microarray data, particularly classification, discrimination and biomedical data interpretation.
With his group, he assists experimentalists in all stages of microarray experiments, and also helps the DNA array facility in method evaluation and optimization.
Pierre Farmer has been trained as both a pharmacologist and a bioinformatician.
In previous research he studied the interaction of different signaling pathways involved in inflammatory response.
He has experience applying classification techniques in the analysis of microarray data and carries out data analysis
for NCCR projects. He also assists in the biological design of experiments and the evaluation of pilot experiments.
Darlene Goldstein
is a statistician with the BCF half time and also has
an appointment in the in the Statistics Chair of the Institute of Mathematics, EPFL.
Her research is partly centered on statistical analysis of microarray data,
in different areas from quality control and normalization,
to meta-analytical analysis of multiple studies and application to genetic analysis.
She also advises on experimental design and coordinates
various educational training activities.
Eugenia Migliavacca is a bioinformatician in the BCF. A medicinal chemist by training, her previous research work concerned the utilization of quantum chemical descriptors in quantitative structure activity relationships
and the understanding of molecular mechanisms of action for different classes of compounds. She has experience in relational database design and construction, machine learning methods, and mutivariate data analysis.
Thierry Sengstag is a bioinformatician with a background in physics. His
activities at BCF include the analysis of microarray data, the annotation of
custom-made microarrays, the
development of analysis tools and system
administration. He is also involved in the development of the bioinformatics activities at the DAF/Lausanne.
Mohamed Faouzi is a PhD student working with Mauro Delorenzi. His specific project involves evaluation and development of methods used in the analysis of microarray data,
collaboration in the analysis of datasets, and combination of experimental and biological data in silico for the understanding of gene regulation and cancer.
He works to tune and develop methodology to answer research questions of collaborating experimentalists.
Pratyaksha "Asa" Wirapati is a postdoctoral
researcher with Mauro Delorenzi. His
interest is in developing algorithms for data analysis in microarray experiments and genomics. He is currently focusing on a computational method for detecting
patterns of interactions among genes from microarray data.
Alexandre Kuhn (post-doctoral researcher)
was trained as a biologist with
majors in molecular biology and human physiology. During his PhD, he focused
on the mathematical modeling of neural systems and the analysis of complex
data from neurophysiological experiments. He currently analyses DNA
microarray data from several clinical experiments related to cardiology and
cancer.
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Frederic Schutz
is a postdoctoral researcher
with Mauro Delorenzi. His
interest is in analysis of proteomics and microarray experiments
and in developing algorithms.
Vlad Popovici
is a bioinformatician in the BCF. He is
a computer scientist with a PhD in computer vision and pattern recognition.
Vlad's major research interest is in the design of classifiers design and
their applications to life sciences. Currently he is working on
on applications of signal processing and related techniques to microarray data
analysis.
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