Statistical consulting

logo_stat-gent_226x100_72dpi.jpg Stat-Gent Consulting

Stat-Gent Crescendo provides expert consultancy in statistics and data analysis, serving a diverse clientele from academia, public institutions, and the private sector.

Our team features a wealth of experience across various application areas, utilizing an array of sophisticated statistical techniques and data-analytic tools.

Each project benefits from the dedicated leadership of one of our skilled consultants and receives the scholarly oversight of a Ghent University professor, ensuring both precision and reliability in our deliverables.

Stat-Gent Consulting provides comprehensive support for data analysis projects, tailored training programs, and customised software solutions. Our portfolio of past collaborations encompasses projects focused on:

  • Dries and Emmanuelair and water quality,
  • behavioral sciences and item response theory,
  • biotechnology and agriculture, biomarkers, diagnostics, statistical genetics and preclinical models,
  • the design and analysis of clinical studies,
  • econometrics, marketing and CRM,
  • health economics, epidemiology, evidence-based medicine, translational medicine, quality of care, and drug intake,
  • production processes in the food industry and food safety,
  • surveys, political and social sciences,
  • veterinary medicine and animal welfare.

Meet the team of consultants:

Dries.JPG After obtaining a Master's degree in Physics, a Master in Statistical Data Analysis provided Dries Reynders an even broader field to model and explore reality with mathematical tools. His main area of expertise are clinical trials, survival analysis and causal inference of observational data.






Emmanuel Abatih Emmanuel Abatih has Masters in Applied Statistics, Biostatistics and Statistical Bio-informatics all from Hasselt University (Belgium). His PhD, obtained in Denmark, was on the application of statistical methods in the field of Veterinary Epidemiology. He has broad teaching and consulting experience in statistics. His main areas of expertise are risk analysis, statistical modelling of multivariate data and software training in R, SAS and STATA.





Limin.JPGLimin Liu, a Shanghai city native, studied social work and sociology in Beijing and Berlin. After finishing her doctoral dissertation on the educational inequality in the access to elite higher education, she relocated to Europe and continued her study in the field of sociology of education in Germany and Belgium successively. Upon her empirical research experience in sociology, she accomplished the ManaMa training in Statistical Data Analysis at Ghent University. Now she is a statistician with social science background and is interested in both quantitative and qualitative methods.




The team is supported by expert supervisors:

  • Prof. Dries Benoit
  • Prof. Els Goetghebeur - Director
  • Prof. Jan De Neve
  • Prof. Luc Duchateau
  • Prof. Ronan Van Rossem
  • Prof. Stijn Vansteelandt
  • Prof. Yves Rosseel

Partner with us to transform your data into decisive insights!

logo FireFIRE

Maintaining scientific integrity and producing publishable, reproducible research are crucial for young academics. Recognizing this need, the Doctoral Schools proudly support FIRE (Fostering Innovative Research based on Evidence) Consulting, dedicated to empowering PhD students and post-docs with expert statistical and methodological advice.

Since launching on February 1, 2017, FIRE has been offering complimentary statistical support to help (post)doctoral researchers design, analyze, and publish their data-driven studies. Each researcher is welcome to take advantage of 2 hours of free, expert guidance from our experienced staff. Should your project require extended support, additional arrangements can be made.

Whether you're at the stage of planning your study, collecting data, analyzing results, or preparing your findings for publication, our team is here to assist. To get started, simply fill out the consulting request form on our website, where you'll find all the details about our terms of service.

Embrace the opportunity to enhance your research with professional insight—apply for a consultation today!

Some faculties and departments have their own statistical consulting service, which you may want to contact first:

How to make an appointment?

Request a meeting through the consulting request form

(Virtual) Drop-in

Have a quick question or looming deadline? Use our drop-in hours:

  • Wednesdays from 14:00 to 18:00
  • Thursday from 9:00 to 12:00

Please go to the FIRE Teams meeting and wait in the lobby for one of our consultants. Questions are answered on a first-come, first-served basis, with no appointment necessary. You may have to wait while our consultants are helping other clients. Thank you for your understanding.

(Meetings are not limited to the Drop-in hours. A request for a meeting can be done at all times through the consulting request form)

! no FIRE consultancy on December 18, 25, 26 and January 1, 2, 8!

Looking to the future, we will be working to expand our services and grow back into full time mode through tapping into existing channels that finance research. In light of this, we encourage all researchers applying for grants to foresee some budget in the application to cover for expert professional statistical support. At this center you will be able to obtain such help at no more than the basic cost.

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