Daria Gaidar

Address

Email: daria.gaidar[at]bioinformatik.uni-saarland.de
Telephone: +49 681 302 70738
Postal address: Center for Bioinformatics
Gebäude E2 1, R. 302
P.O. Box 15 11 50
D-66041 Saarbrücken
Germany

LinkedIn

Curriculum Vitae 

Curriculum Vitae

B.Sc. in Computer Science, Medical Engineering Department, National Technical University of Ukraine 'Kyiv Polytechnic Institute', Kyiv, Ukraine (

M.Sc. in Bioinformatics, Saarland University, Saarbrücken, Germany (2015)

Research Graduate Student at 熊本大学, Kumamoto University, Kumamoto, Japan (2013 - 2014)

Researcher, PhD student, Center for Bioinformatics, Saarland University (since August 2015)

Daria Gaidar PhD student Bioinformatics

Research Areas

  • development of bacterial drug resistance
  • modeling of cellular metabolism
  • tensor analysis, unsupervised learning
  • use of Semantic Web, RDF for data integration and analysis  

Publications

  • Koga, Motoya, Shinobu Izumi, Shigehito Matsubara, Yoshie Inada, and Daria Gaidar. "Proposal for welfare town planning method and experimental development of support system for persons with disabilities." Procedia Environmental Sciences 22 (2014): 70-77.

Conferences

  • Gaidar, D., Araya, A.G., Helms, V. (2019). Workflow for transcription factor knockout simulations on transcriptome primed whole genome metabolic model reconstructions for 10 antibiotic resistant Escherichia coli strains. ISMB/ECCB, Conference on Intelligent Systems for Molecular Biology, Basel, Switzerland [Poster]

    Gaidar, D., Flohr, A., Helms, V. (2018). Integration and prediction of data on evolutionary drug interactions in antibiotic resistant strains of Escherichia coli. ISMB, Conference on Intelligent Systems for Molecular Biology, Chicago, USA [Poster]

    Gaidar, D., Flohr, A., Helms, V. (2018). Integrative study on independently published data on evolutionary drug interactions in laboratory evolved antibiotic resistant strains of Escherichia coli. Challenges and new concepts in antibiotics research, Institute Pasteur, Paris, France [Poster]

    Flohr, A., Helms, V., Gaidar, D. (2017). Data analysis to improve understanding and prediction of cross-resistance and epistatic interactions. ISMB/ECCB, European Conference on Computational Biology, Prague, Czech Republic [Poster]

    Gaidar, D., Jordan, A., Akulenko, R., Helms, V., von Mueller, l. (2016). Differentiated assessment of the adhesion kinetics of S. aureus to human leukocytes. EMBO, EMBL Symposium: Innate Immunity in Host-Pathogen Interactions, Heidelberg, Germany [Poster]

    Gaidar, D., Greil, M., Andreychenko, A., Helms, V. (2016) Modeling Stress and Drug Resistance Development in Escherichia coli. CSBio2016, Conference on Computational Systems-Biology and Bioinformatics, Macau [Talk]

    Koga, M., Izumi, S., Matsubara, S., Inada, Y., & Gaidar, D. (2014). Proposal for welfare town planning method and experimental development of support system for persons with disabilities. Procedia Environmental Sciences, 22, 70-77. [Paper]

    König, K., Uchugonova, A., Breunig, G., Kloetzer, M., Weinigel, M., Bückle, R.,  Gaidar, D., Lademann, J.M. (2014). Quantitative multiphoton imaging. SPIE Photonics West [Keynote presentation]

    Klötzer, M.,  Gaidar, D., Uchugonova, A., Breunig, G., & König, K. (2012). Two-photon autofluorescence microscopy and modelling of light transport in skin tissue phantoms. FLIM Workshop, Saarbruecken, Germany [Poster]

Courses

  • EMBL Course: Microbial Communities: Modelling Meets Experiments; Heidelberg, Germany (December 2016) (Poster)
  • Machine Learning Summer School (MLSS); Kyoto, Japan (August 2015)

Teaching

 

Useful information

Here you can find an expanding set of links to resources that might be of a good use for your student work.

Susan McConnell (Stanford): Designing effective scientific presentations  Video

Lynne Miller, Ann Weaver, Christine Johnson: Giving a Good Scientific Presentation PDF

Marilynn Larkin: How to give a dynamic scientific presentation Text