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  • M.Sc., Department of Economics, Middle East Technical University, Turkey, 2018-current.
  • B.Sc., Department of Philosophy, Anadolu University, Turkey, 2017-current.
  • Ph.D., Department of Mathematics and Statistics, Lancaster University, U.K. 2004-2007.
  • M.Sc.,  Department of Statistics, Middle East Technical University, Turkey, 2002-2004.
  • Minor,: Department of Economics, Middle East Technical University, Turkey, 2000-2002.
  • B.Sc., Department of Statistics, Middle East Technical University, Turkey, 1998-2002.
 Recent Academic Posts
  • October 2018-current, Professor, Dept. of Statistics, METU 
  • December 2012-October 2018, Associate Professor, Dept. of Statistics, METU.
  • February 2011-current, Affiliated Faculty Member, Dept. of Biomedical Engineering, METU.
  • January 2011-current, Affiliated Faculty Member, Informatics Institute, METU.
  • November 2010-current, Affiliated Faculty Member, Institute of Applied Mathematics, METU.
  • August 2010-December 2012, Assistant Professor, Dept. of Statistics, METU.
 Recent Professional Activities
  • December 2018- current, Editorial Board of International journal of Industrial Engineering and Operational Research.
  • September 2017- October 2018, Faculty Executive Board Member,Faculty of Arts and Sciences, METU.
  • November 2016 -current, Biomolecular Engineering Track Representative, Department of Biomedical Engineering, METU. 
  • 2016 - 2020, Management Committee Member for Turkey in the COST grant CA15109.
  • 2016 - 2019, Awards Fund Committee Member, International Biometric Society.
  • 2014-current, Reviewer for TUBITAK (The Scientific and Technological Research Council of Turkey) grant applications.
  • 2013-current, Internship Coordinator, Department of Statistics, METU.
  • 2010-current, Advisory Board and Regular Referee for Journal of Biostatistics - Turkish Clinics.
  • 2006-current, Referee of Internationale Journals mostly indexed in SCI.
  • 2013, 2016, 2019, Stream Organizer and Referee of the 26th, 29th and 32nd European Conference on Operational Research.
  • 2014, 2016, 2017, Programme Committee Member and Referee of the 11th an 13th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB). 

Recent Scholarships and Awards
  • 2015-2017 : Academic Performance Award, Faculty of Art and Science, METU
  • 2014-2016 : Academic Performance Award, Faculty of Art and Science, METU.
  • 2015: Finalist of Sabri Ulker Science Award, Sabri Ulker Food Research Foundation.
  • 2015: TECEP Translation Book Honorable Mention Award, Translated Book Edited by Prof. Dr. Zeki Kaya and co-authored with 22 academicians.
  •  2013-2015 : Academic Performance Award, Faculty of Art and Science, METU.
  •  2012-2014 : Academic Performance Award, Faculty of Art and Science, METU. 

       (Note: The complete list of sholarships and awards can be found in the attached CV).

Research Interests: 
  • Bioinformatics, System Biology, Computational Biology, Biostatistics, High-dimensional Inference.
Recent Projects
  1. Principal investigator, January 2017-December 2018, Scienti c Research Project (BAP1), METU. Project title: Inference of the Gaussian graphical model and lasso regression via the modi ed maximum likelihood method. Project no: BAP-01-09-2017-002.

  2. Principal investigator, January 2017-December 2018, Scienti c Research Project (DAP1), METU. Project title: Collection of genetic information, analysis and modeling of the cervical cancer with risk factors. Project no: BAP-08-11-2017-035.

  3. Co-applicant and management committee member for Turkey, January 2016-January 2020, European Community 7th Framework Programme (COST Programme). Project title: European network for statistical network science. Project no: CA15109.
  4. Principal investigator, January 2016-June 2017, Scienti c Research Project (BAP1), METU. Project title: Alternative approaches, inference and copulas in deterministic modellings of complex biological systems. Project no: BAP-01-09-2016-002.
  5. Principal investigator, April 2015-April 2017, Scienti c and Technological Research Council (TUBITAK - 1001 Programme). Project title: Application of copulas in inference of biological networks via Gaussian graphical models and parameter estimation. Project no: 114E636.
  6. Principal investigator, January 2014-January 2017, METU Research and Development Project (AGEP Programme). Project title: Simulation of biochemical systems via stochastic simulation algorithms and extensions of these methods by including impulses, Project no: BAP-08-11-2014-007.
          (Note: The complete list of projects and grants can be found in the attached CV).


Selected Publications: 


  1. Purutçuoğlu, V. and Ayyıldız, E. (December 2014) " Statistics in the Field of Bioinformatics (Biyoinformatik Alanında Istatistik-in Turkish) ”, Nobel Publisher. ISBN: 978-605-320-008-6 (http://www.nobelyayin.com/detay.asp?u=4309)
  2. Wit, E., Vinciotti, V., and Purutçuoğlu, V.  (December, 2016) “ Statistics for Biological Networks: How to Infer Networks from Data ”, Chapman and Hall/CRC. ISBN: 978-439841470 (http://www.amazon.com/Statistics-Biological-Networks-Chapman-Interdisciplinary/dp/1439841470)

Recent Chapters in Books  
  • Doğan Dar, E., Purutçuoğlu, V.  and Purutçuoğlu, E. (2019) "Detection of HIV-1 protease cleavages sites via hidden Markov model and physicochemical properties of aminoacids". Chapter in: Numerical Solutions of Real-Life Nonlinear Phenomena. Editors: J. A. T. Machado, N. Özdemir, D. Baleanu. Springer (Accepted).

  • Seçilmiş, D., Ağraz, M. and Purutçuoğlu, V.  (2019) “Two novel non-parametric models in the construction of biological networks ”. Chapter in: Information Complexity and Statistical Modeling in High Dimensions with Applications. Editors: O. Arslan. Springer (In print).

  • Ayyıldız, E. and Purutçuoğlu, V. (2019) “Generating various types of graphical models via MARS ”. Chapter in: Information Complexity and Statistical Modeling in High Dimensions with Applications. Editors: O. Arslan. Springer (In print). 

  • Seçilmiş, D. and Purutçuoğlu, V. (2019) “Modeling of biochemical networks via classification and regression tree methods ”. 87-102. Chapter in: Mathematical Methods in Engineering. Editors: K. Taş, D. Baleanu and J.A. Mashado. Springer. 

  • Ağraz, M. and Purutçuoğlu, V. (2019) “Empirical copula in the detection of batch effects ”. 25-39. Chapter in: Mathematical Methods in Engineering. Editors: K. Taş, D. Baleanu and J.A. Mashado. Springer.

  • Tuncer, G. and Purutçuoğlu, V. (2018) “ Major simulation tools for biochemical networks ”. 443-46. Chapter in: Modelling, Dynamics, Optimization and Bioeconomics III. Editors: A. Pinto, Z. Zilberman. Springer.

  • Purutçuoğlu, V. (2018) “ Stochastic modelling of biochemical networks and inference of model parameters ”. 369-385. Chapter in: Modelling, Dynamics, Optimization and Bioeconomics III. Editors: A. Pinto, Z. Zilberman. Springer.

Recent Articles   

  • Bülbül, G. B., Purutçuoğlu, V., Purutçuoğlu, E. (2019) "Novel model selection criteria on sparse biological networks", International Journal of Environmental Science and Technology, 1-12 (accepted).

  • Ağraz, M. and Purutçuoğlu, V. (2019) “ Extended lasso-type MARS (LMARS) model in the description of biological network ”, Journal of Statistical Computation and Simulation, 89 (1), 1-14.

  • Bahçivancı, B., Purutçuoğlu, V., Purutçuoğlu, E., Ürün, Y. (2018) "Estimation of gynecological cancer networks via target proteins", Journal of Multidisciplinary Engineering Science and Technology, 5 (12), 9296-9302.

  • Ayyıldız, E. and Purutçuoğlu, V. (2018) “Modeling of various biological networks via LCMARS”, Journal of Computational Science, 28, 148-154.

  • Ayyıldız, E. and Purutçuoğlu, V. (2018) “ Is it necessary to apply the outlier detection for protein-protein interaction data? ”, Journal of Biostatistics-Turkish Clinics, 1-17 (accepted for publication).

  • Farnoudkia, H. and Purutçuoğlu, V. (2018) “ Copula Gaussian graphical modelling of biological networks and Bayesian inference of model parameters ”, Scientia Iranica, 1-18 (accepted for publication).

  • Altıntan, D., Purutçuoğlu, V.  and Uğur, Ö. (2018) “ Impulsive expressions in stochastic simulation algorithms ”, International Journal of Computational Methods, doi: 10.1142/S021987621750075X, 15 (1), 1750075.1-16.

  • Ayyıldız, E., Purutçuoğlu, V.  and Weber, G.W. (2018) “ Loop-based conic multivariate adaptive regression splines is a novel method for advanced construction of complex biological networks ”, European Journal of Operational Research,doi: 10.1016/j.ejor.2017.12.011, 270, 852-861. 

  • Varol, D., Purutçuoğlu, V. and Yılmaz, R. (2017) “Whole genome analysis of the heat stress response in commercial baker’s yeast (Saccharomyces cerevisiae) with comparative statistical approaches ”, Gene and Genomics, doi: 10.1007/s13258-017-0616-6, 1-14. 

  • Dokuzoğlu, D. and Purutçuoğlu, V. (2017) “Comprehensive analyses of Gaussian graphical model under different biological networks ”, Acta Physica Polonica, Series A, 132, 1106-1111. 

  • Purutçuoğlu, V. and Farnoudkia, H. (2017) “Gibbs sampling in inference of copula Gaussian graphical model adapted to biological networks ”, Acta Physica Polonica, Series A, 132, 1112-1117. 

  • Purutçuoğlu, V.  and Ayyıldız, E. (2017) “Mathematical modeling of gene networks (in Turkish) ”, Journal of Biostatistics-Turkish Clinics, doi: 10.5336/biostatic.2017-55474, 143-155. 

  • Akal, T., Purutçuoğlu, V. and Weber, G.-W. (2017) “Robust background normalization method for one-channel microarrays ”, Turkish Journal of Biochemistry, doi: 10.1515/tjb-2016-0231, 42 (2), 111-121. 

  • Purutçuoğlu, V. , Ayyıldız, E. and Wit, E. (2017) “Comparison of two inference approaches in Gaussian graphical models ”, Turkish Journal of Biochemistry, 42 (2), 203-211. 

  • Purutçuoğlu, V., Ağraz, M. and Wit, E. (2017) “Bernstein approximations in glasso-based estimation of biological networks ”, The Canadian Journal of Statistics, doi: 10.1002/cjs11309, 45 (1), 62-76. 

  • Tuncer, G. and Purutçuoğlu, V. (2017) “Application of impulsive deterministic simulation of biochemical networks via simulation tools ”, Proceedings of the Jangjeon Mathematical Society (PJMS), 1, 105-119. 

  • Ayyıldız, E., Ağraz, M. and Purutçuoğlu, V. (2017) “MARS as the alternative approach of Gaussian graphical model for biochemical networks ”, Journal of Applied Statistics, doi:10.1080/02664763.2016.1266465, 44 (16), 2858-2876.

          (Note: The complete list of publications can be found in the attached CV.)