User:Ivakhno
From 2006.igem.org
Contents |
Sergii Ivakhno
I am computer science graduate student at the School of Informatics, University of Edinburgh. I am very existed about the IGEM competition and opportunities for cross-disciplinary collaboration it provides.
Contact details
s0567096@sms.ed.ac.uk
web site
http://web.mit.edu/ivakhno/www/index.html
Education
====2000 – 2004 First honours BSc degree ==== (major molecular biology); Kyiv State University, Ukraine
Studied organismal biology, biochemistry, biophysics, molecular biology, immunology, biophysics, biotechnology, genetics, microbiology, ecology, plant biology, human anatomy, physiology, radiobiology, inorganic chemistry, organic chemistry, analytical chemistry, general computer science, special courses in molecular biology, etc.
Worked in the lab studying cytokine biology and did a number of projects in microarray and protein bioinformatics
2004 – 2005 MSc degree in Biochemistry with distinctions
Kyiv State University, Ukraine Using individual intensive curricular I completed two-year MSc program in one year
Was a very hectic and exiting year… Developed software for analysis and comparison of DNA microarray and Tandem Mass Spectrometry data.
==== 2005 – 2007 European Masters in Informatics ==== (major Bioinformatics and Systems biology)
School of Informatics, University of Edinburgh
2 year Erasmus-Mundus fellowship from European Commission to cover tuition fees and leaving expenses for the program
Also visiting student at the Massachusetts Institute of Technology , Division of Biological Engineering and Computational and Systems Biology Initiative
Academic interests
The choice of computational and systems biology as the field of my specialization was governed by my belief that advances in biomolecular techniques and accumulation of potentially new kind of biological knowledge will gradually transform biosciences from purely descriptive into a new quantitative discipline. In the end, we should think about molecular biology of the cell not just in terms of proteins, DNA or enzymatic reactions, but also in terms of sets, networks and complex signalling cascades. Understanding them would require development of new conceptual thinking, theoretical and computational tools.
My research interests comprise both molecular and computational biology and include cell biology, network biology, systems biology, proteomics and bioinformatics.
