Personal information

• Olivier Gevaert

• age 26 (October 3 1981, Oudenaarde, Belgium)

• august 2002 and 2003: managing assistent recycling center
• july 2001: administrative aide at municipality in Kruishoutem, Belgium
• july and august 2000: interim jobs in Oudenaarde, Belgium

Education

1999-2003 Katholieke Hogeschool Sint-Lieven Master of Science in Industrial Engineering in Electronics option information and Communication Technology

• graduated Magna cum laude
• thesis on an intelligent system for electricity load management in Konstanz, Germany

2003-2004 Katholieke Universiteit Leuven Master of Artificial Intelligence engineering and computer science option

• graduated Magna cum laude
• project on text genre classification at the faculty of law in the law and information technology research unit

2004-now pursuing a phd in Bioinformatics at ESAT-SCD, Katholieke Universiteit Leuven under the supervision of Prof. Dr. Ir. Bart De Moor

Courses

• Masterclass in Partial Least Squares, CQ consultancy, November 2005
• PhD course in Biological Sequence Analysis, Technical University of Denmark April 2005
• Bioinformatics by Robert Gentleman, Ghent University, 2004-2005
  

Seminars

• At ESAT-SCD
  
• Predictive models in medical decision problems
  
• Causality in Graphical models
• At CHU St Pieters Hospital in Brussels
• Predicting the outcome of pregnancies of unknown location
  

Publications

• Journal
  
• Condous G., Kirk E., Lu C., Van Huffel S., Gevaert O., De Moor B., De Smet F., Timmerman D., Bourne T., Diagnostic accuracy of varying discriminatory zones for the prediction of ectopic pregnancy in women with a pregnancy of unknown location'', Ultrasound in Obstetrics and Gynecology, vol. 26, no. 7, Dec. 2005, pp. 770-775.
• Gevaert O., De Smet F., Kirk E., Van Calster B., Bourne T., Van Huffel S., Moreau Y., Timmerman D., De Moor B and Condous G., Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression, Human Reproduction, 2006 Apr 6
• Gevaert O., Pochet N., De Smet F., Van Gorp T., De Moor B., Timmerman D., Amant F., Vergote I., Molecular profiling of platinum resistant ovarian cancer: use of the model in clinical practice. International Journal of Cancer, 2006 Apr 17.
• Gevaert O., De Smet F., Timmerman D., Moreau Y. and De Moor B., Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks'', Bioinformatics, 2006, Jul 15;22(14):e184-90, 14th Annual International conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil, August 6-10, 2006.
• Gevaert O., Van Vooren S., De Moor B. "A framework for elucidating regulatory networks based on prior information and expression data. Annals of the New York Academy of Sciences 2007 Oct 9, Volume 1115(1),pp240: "Reverse Engineering Biological Networks: Opportunities and Challenges in Computational Methods for Pathway Inference".
  
• Van den Bosch T., Verguts J., Daemen A., Gevaert O., Domali E., Claerhout P., Vandenbroucke V., De Moor B., Deprest J., Timmerman D., Experienced pain during vaginal ultrasound, hydrosonography, hysteroscopy and office sampling: a comparative study, Ultrasound in Obstetrics and Gynecology. 2008, Mar; 31(3):346-51
  
• Gevaert O., De Smet F., Van Gorp T., Pochet N., Engelen K., Amant F., De Moor B., Timmerman D., Vergote I. Expression profiling to predict the clinical behaviour of ovarian cancer fails independent evaluation. BMC Cancer 2008, 8:18 (22 January 2008).
  
• Refereed Conference (presentation):
• E. Kirk, O. Gevaert, Z. Haider, G. Condous, T. Bourne Can the hCG ratio be used to predict the likelihood of success of conservative management of ectopic pregnancies? Ultrasound in Obstetrics and Gynecology. 26:4, September 2005, pp 362
  
• Gevaert O., De Smet F., Timmerman D., Moreau Y. and De Moor B., Integration of clinical and microarray data using Bayesian networks. Accepted at the 14th IFAC Symposium on System Identification, SYSID-2006, March 29-31, Newcastle, Australia.
• Kyama CM., Mihalyi A., Gevaert O., Simsa P., Waelkens E., Van de Plas R., Mwenda JM., Meuleman C., De Moor B., D'Hooghe TM. Endometrial biomarkers for semi-invasive diagnosis of endometriosis. Accepted at the 23rd Annual Meeting of the European Society of Human Reproduction & Embryology (ESHRE), Lyon 2007
• Gevaert O., Van Vooren S., De Moor B. Integration of expression and textual data enhances the prediction of prognosis in breast cancer. International workshop on Probabilisitc Modelling in Computational Biology: Probabilistic methods for Active Learning and Data Integration in Computational Biology. Vienna, July 2007
• Daemen A., Gevaert O., De Moor B. "Integration of clinical and microarray data with kernel methods",  29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, Aug. 2007 Conf Proc IEEE Eng Med Biol Soc. 2007;1:5411-5415
  
• Gevaert O., De Moor B., Timmerman D. "Optimizing variable selection and cost using a genetic algorithm for modeling adnexal masses with Bayesian networks", 17th World Congress on Ultrasound in Obstetrics and Gynecology, Firenze, Italy, Oct 2007. Ultrasound Obstet Gynecol. 2007 Oct;30(4):415
  
• Daemen A., Botttomly C., Gevaert O., De Moor B., Timmerman D., Bourne T. "Predicting early pregnancy loss with Functional Linear Discriminant Analysis (FLDA)", 17th World Congress on Ultrasound in Obstetrics and Gynecology, Firenze, Italy, Oct 2007. Ultrasound Obstet Gynecol. 2007 Oct;30(4):469
• Van den Bosch T., Daemen A., Gevaert O., Timmerman D., "Mathematical decision trees versus clinician based algorithms in the diagnosis of endometrial disease", 17th World Congress on Ultrasound in Obstetrics and Gynecology, Firenze, Italy, Oct 2007. Ultrasound Obstet Gynecol. 2007 Oct;30(4):412
• Gevaert O., Van Vooren S., De Moor B., "Integration of microarray and textual data improves the prognosis prediction of breast, lung and ovarian cancer patients'', Pacific Symposium on Biocomputing, Big Island, Hawaii, Jan 2008.
• Daemen A., Gevaert O., De Bie T., Debucquoy A., Machiels J.-P., De Moor B., Haustermans K., "Integrating microarray and proteomics data to predict the response on cetuximab in patients with rectal cancer'', Pacific Symposium on Biocomputing, Big Island, Hawaii, Jan 2008.
• Kyama CM., Mihalyi A., Gevaert O., Simsa P., Waelkens E., Van de Plas R., Mwenda JM., Meuleman C., De Moor B., D'Hooghe TM. Proteomics in translational research: an integrated approach in the pathogenesis and diagnosis of endometriosis. Accepted at the 10th world congress on endometriosis, Melbourne, Australia, March 2008

• Gevaert O., Testa A., Daemen A., Van Holsbeke C., Fruscio R., Epstein E., Leone FPG., Czerkierdowski A., Valentin L., Savelli L., Bourne T., Amant F., De Moor B., Timmerman D. Multicenter prospective testing to predict malignancy in adnexal masses using Bayesian network models. Accepted at the 18th World Congress on Ultrasound in Obstetrics and Gynecology, Chicago, USA, August 2008

• J. H. Machiels, A. Debucquoy, O. Gevaert, A. Daemen, C. Sempoux, W. McBride, C. Stroh, S. Vlassak, K. Haustermans. Prediction of pathological response to preoperative chemoradiotherapy with cetuximab in rectal cancer. ASCO annual meeting, May 2008, Chicago, USA, J Clin Oncol 26: 2008 (May 20 suppl; abstr 4095)
  
• Refereed conference (posters at international conferences):
• Gevaert O., De Smet F., De Moor B. Modelling ovarian masses with Bayesian networks. Benelux Bioinformatics Conference (BBC), Ghent, April 2005, Belgium.
  
• Gevaert O., De Smet F., De Moor B. Integration of clinical and microarray data using Bayesian networks. Integrative Post Genomics Meeting, Lyon, November 2005, Lyon France.
  
• Gevaert O., van Vooren S., De Moor B. The use of prior distributions for learning genetic networks. Proceedings of the workshop on Probabilisitc Modelling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, June 2006, pp. 103-107
  
• Gevaert O., Ojeda F., Timmerman D., De Moor B. Integrating proteomics in medical decision support systems using Bayesian networks. Conference on In-Silico Analysis of Proteins - SwissProt, Fortaleza, Brazil, Aug. 2006.
• Gevaert O., Van Vooren S., De Moor B. A Bayesian network framework for modelling the regulatory mechanisms behind cancer outcomes. Benelux Bioinformatics Conference, Wageningen, The Netherlands, October 2006.
• Gevaert O., Van Vooren S., De Moor B. Integration of expression and textual data enhances the prediction of regulatory mechanisms behind cancer outcomes. Algorithmic Biology, San Diego, Novembre 2006.
  
• Debucquoy A., Machiels J-P., Gevaert O., Daemen A., Roels S., De Moor B., McBride., Haustermans K. Molecular response to pre-operative chemoradiotherapy in combination with cetuximab n patients with rectal cancer., 13th International Congress of Radiation Research, San Fransisco, California, July 2007
• Gevaert O., Van Vooren S., De Moor B. A Bayesian network framework for modelling the regulatory mechanisms behind cancer outcomes. 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), Vienna, July 2007.
  
• Van Gorp T., Gevaert O., Van de Plas R., Cadron I., Waelkens E., De Moor B., Amant F., Timmerman D., Vergote I. Biomarker discovery workflow with MALDI-TOF to differentiate between benign and malignant adnexal masses. 15th International meeting of the European Society of Gynaecological Oncology (ESGO), Berlin, Germany, October 28 - November 1, 2007
  

Referee for

• International Journal of Artificial Intelligence in medicine
• International Journal of Computer Mathematics
• BMC Bioinformatics
  
• Bioinformatics
• Genome Biology
• Human Reproduction
• International Journal of Gynecological Cancer
  

Awards

• ISCB travel fellowship to attend the 14th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2006) in Fortaleza, Brazil for the amount of $1000
• ASL (Academische Stichting Leuven) travel fellowship to attend the 14the Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2006) in Fortaleza, Brazil for the amount of 1000 euro
  

Membership

• International Society for Computational Biology (ISCB) since August 2006
• Academische Stichting Leuven (ASL) since July 2006
  

Computer knowledge

Software

• Windows, MS-Office, Linux (basics)
• Eclipse
• Cytoscape
• Matlab
  

Programming languages

• Java
• Perl
• C++
• SQL
• R (basics)
• SAS (basics)
  
• Prolog
• Pascal

Web

• HTML, JavaScript
• XML
• PHP(basics)

Other

• LaTeX
  

Languages

Dutch: Mother tongue

English: very good

French: good

German: basics

Spanish: beginner

Hobbies

• Basketball (this is a good Dutch site made by a friend)
• Snowboarding
• Reading (mostly science fiction and fantasy and non-fiction)
• Cooking
• Swimming
• Squash
  
• Travel

Research

You can find an overview of my research here.