DR. László, Anna

LA

Last modified: 17. November 2022

  Dr. László, Anna

 Assistant professor

  Scientific Achievements: PhD (2018)

  Phone: +36 1 305-7181

  E-mail: Laszlo.Anna@uni-mate.hu 

 

Organizational unit:

Department of Applied Statistics

Professional Experience:

  • 2018- Senior lecturer of Department of Applied Statistics (Institute of Mathematics and Basic Science, Hungarian University of Agriculture and Life Sciences (MATE, Budapest, Hungary, before 2021 Department of Biometrics and Agricultural Informatics, Faculty of Horticultural Science, Szent Istvan University). Responsibilities: Data analysis, research, educational activity, supervisor activity.
  • 2014-2018. Assistant lecturer of Department of Biometrics and Agricultural Informatics, Faculty of Horticultural Science, Szent Istvan University (Budapest, Hungary, before 2017 Corvinus University of Budapest). Responsibilities: Data analysis research, educational activity, developing educational material for courses Biometrics and Applied informatics, supervisor activity.
  • 2013-2021. Analysis consultant at Calculus Ltd. (Szeged, Budapest, Hungary). Responsibilities: Data analysis, educational activity, developing educational material for courses ‘Statistical software’ and ‘Statistical analysis of environmental data’.
  • 2009-2012. Developer at InfoPólus 2009 Ltd. and SCM 2009 Supply Chain Monitoring Ltd. (Szeged, Hungary). Responsibilities: Coordination, planning and the statistical analysis part of software-developmental projects based on PRINCE and SSADM methodologies, GOP-1.2.1-09-2010-0004).
  • 2007-2009. Research associate in Department of Orthopedic Surgery, Molecular Biology, Rush University Medical Center (Chicago, USA). Responsibilities: Biostatistical and microarray analyses (analyze results from mice experiments, examining arthritis and other kind of autoimmune diseases: basic statistics and comparisons of different groups, multiple comparisons using SPSS and MS Excel; gene expression analyses by using Expression Console, GeneSpring GX, Partek Genomics Suite softwares), laboratory research assistance (scoring arthritic mice, data recording).

Education:

  • 2018. Ph.D. scientific degree: Summa cum laude. Thesis: Longitudinal studies: repeated measurements and trends on biomedical data, Doctoral School of Interdisciplinary Sciences, Faculty of Medicine, University of Szeged (Szeged, Hungary).
  • 2011-2014. PhD Student at Department of Medical Physics and Informatics, University of Szeged (Szeged, Hungary). Responsibilities: Data analysis research on biomedical data, educational activity, developing educational material for courses Biostatistics and Applied informatics.
  • 2002-2007. Master’s degree: Mathematician and Computer Programmer in Economics (Diploma: 4.04), Faculty of Science, University of Szeged and Corvinus University of Budapest.
  • 1996-2002. Special mathematics stream, Radnóti Miklós Grammar School (Szeged, Hungary)

Research:

Biostatistics

Awards, Scholarships:

  • 2018. 5. 11. Society for Clinical Biostatistics: Award of Young Biostatistician of the Year 2017
  • 2018. 5. 4. Hungarian Association of Agricultural Informatics: Special prize for the 2017 Ph.D. dissertation
  • 2013. 9. 7. XI. Hungarian Stroke Conference: 1st place in the competition announced for poster presentations
  • 2013–2014 János Apáczai Csere Scholarship for PhD students, National Excellence Program (TÁMOP 4.2.4.A/2-11-1-2012-0001)
  • 2013 SZTE Talent Excellence Award for PhD students, brazen category, University of Szeged
  • 2012 SZTE Talent Excellence Award for PhD students, brazen category, University of Szeged

PhD supervision:

https://doktori.hu/index.php?menuid=192&sz_ID=27456&lang=EN

Publication list:

https://m2.mtmt.hu/gui2/?type=authors&mode=browse&sel=10028527

Hungarian: Biometrics, Biometrics and research methodology, statistical and biometric methods, Applied informatics, Agricultural information systems, Decision support systems, Statistical decision support methods of professional consulting, Horticultural information systems

English: Experimental design and evaluation, Statistical decision support methods of professional consulting, Horticultural information systems

Course leadership: 

Hungarian: Biometrics, Biometrics and research methodology, statistical and biometric methods, Applied informatics, Agricultural information systems, Decision support systems, Statistical decision support methods of professional consulting, Horticultural information systems

English: Experimental design and evaluation, Statistical decision support methods of professional consulting, Horticultural information systems

Optional thesis topics:

  • Data analyses using SAS,
  • Data analyses using R,
  • Data analyses using IBM SPSS

Office hours: Consultation can be required via e-mail