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[ɒtilɒ gujaːʃ kovaːt͡ʃ]
Attila Gulyás-Kovács
“Colorless green ideas sleep furiously.” — Noam Chomsky
Education
2006– graduate courses.
probability theory, mathematical statistics, bioinformatics
2005 PhD, University of Göttingen, advisor: Erwin Neher.
molecular and cellular biophysics
Experience
2015– Postdoctoral Fellow, Icahn School of Medicine at Mount Sinai, Dept. Genetics
and Genomic Sciences, Tu Lab.
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integration and interpretation of genomic data for personalized medicine
2012–2015 Visiting Scientist, Budapest University of Technology and Economics, Computational Biomedicine Workgroup (Péter Antal).
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researched miRNAs’ roles in breast cancer
- prioritization of miRNAs with MKL machine learning [?]
- Bayesian network-based relevance analysis of miRNA variants called from NGS data
assisted in writing articles on novel bioinformatics methodologies
taught in a bioinformatics course
2005–2012 Postdoctoral Researcher, Rockefeller University, Gadsby Lab.
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analyzed the protein defective in cystic fibrosis disease with mechanistic experiments
developed data analysis software for colleagues (J Gen Physiol.;136(1):63-82.)
published [?] his independent work on structural bioinformatics and sequence evolution
2002–2005 Doctoral Researcher, Max Planck Inst. for Biophysical Chemistry, Dept. Neher
(Nobel Prize 1991).
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with mechanistic experiments dissected the roles of SM proteins in exocytosis [?, ?, ?, ?]
Skills
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statistics, machine learning
asymptotic theory, ML/Bayesian estimators, tests, decision theory
graphical and generalized linear models, stochastic processes
Bayesian graph learning, multiple kernel learning
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programming: R, Matlab, Python, Perl, Scheme, Bash
document preparation: LATEX, Beamer, TikZ
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[email protected] •
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www.attilagk.com
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bioinformatics & computational biology
NGS data pipelines and variant calling
theoretical population genetics, evolution, phylogenetics
comparative molecular modeling
statistical mechanics, theoretical biophysics
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experimental
PCR, molecular cloning techniques, DNA/RNA extraction
Western blots, biochemistry
wide range of electrophysiology and microscopy techniques
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languages: English, German, Hungarian
Selected Presentations
Seminars
Conferences
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Columbia University
Rockefeller University
Albert Einstein College of Medicine
Max Planck Inst. for Mol. Genet.
VU University Amsterdam
Biophysical Society
Intelligent Systems for Mol. Biol.
Society for Mol. Biology and Evolution
Gordon Research Conferences
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Publications
[1] Peter Marx, Bence Bolgár, András Gézsi, Attila Gulyás-Kovács, and Péter Antal. MicroRNA Prioritization Based on Target Profile Similarities. In International Conference on
Bioinformatics Models, Methods and Algorithms - (BIOINFORMATICS 2014), 2014.
[2] Attila Gulyás-Kovács. Integrated analysis of residue coevolution and protein structure in
ABC transporters. PLOS ONE, 7(5):e36546, January 2012.
[3] Attila Gulyás-Kovács, Heidi de Wit, Ira Milosevic, Olexiy Kochubey, Ruud F Toonen, Jürgen
Klingauf, Matthijs Verhage, and Jakob B Sørensen. Munc18-1: sequential interactions with
the fusion machinery stimulate vesicle docking and priming. The Journal of neuroscience :
the official journal of the Society for Neuroscience, 27(32):8676–86, August 2007.
[4] Heidi de Wit, Alexander M Walter, Ira Milosevic, Attila Gulyás-Kovács, Dietmar Riedel,
Jakob B Sørensen, and Matthijs Verhage. Synaptotagmin-1 docks secretory vesicles to
syntaxin-1/SNAP-25 acceptor complexes. Cell, 138(5):935–46, September 2009.
[5] Ruud F Toonen, Olexiy Kochubey, Heidi de Wit, Attila Gulyás-Kovács, Bas Konijnenburg,
Jakob B Sørensen, Jürgen Klingauf, and Matthijs Verhage. Dissecting docking and tethering
of secretory vesicles at the target membrane. The EMBO journal, 25(16):3725–37, August
2006.
[6] Uri Nili, Heidi de Wit, Attila Gulyás-Kovács, Ruud F Toonen, Jakob B Sørensen, Matthijs
Verhage, and Uri Ashery. Munc18-1 phosphorylation by protein kinase C potentiates vesicle
pool replenishment in bovine chromaffin cells. Neuroscience, 143(2):487–500, December
2006.
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[email protected] •

www.attilagk.com