14 March 2020 at University of Neuchâtel
Practical applications and workshop sessions
Gain knowledge from your peers and experienced professionals
Community organised, community focussed
Only 20 CHF (10 CHF for students)
Inclusive, supportive and respectful environment
We’re organising a conference!
Discount tickets available for students!
Submissions for speakers are now open!
Cut off date for speaker submissions
Keen to be part of the program? We have reserved 2 x 30 Minutes sessions for shorter talks.
If you have never presented at a conference before but would like to give it a shot, drop us an email at firstname.lastname@example.org - we'd be happy to support you.
Plus: Speakers get their ticket reimbursed!
Submission starts mid January 2020.
Data Scientist at PartnerRe with an actuarial background. Develops R based tools for insurance and provide R-trainings within the company.
Kirill has worked on the boundary between data and computer science with more than 20 years of software engineering experience. He has enjoyed working with and contributing to the R ecosystem since 2012.
Mark recently joined rOpenSci as a Software Research Scientist, and also develops software for the World Health Organization to plan for encourage more sustainable and active transport.
Natasa is a computer scientist by training and is currently finishing her PhD at HEC Lausanne. Her main research interest is a deeper understanding of learning models, hence works focuses on causal inference, generative models, uncertainty and interpretability.
At Novartis, David provides support to develop production Shiny apps, HTML templates and train other associates in package development. David also contributes to the R Shiny ecosystem through its open source project, namely RinteRface, bs4Dash (Bootstrap 4 shinydashboard), shinyMobile, the virtual physiology simulator.
Duc is a Data Scientist at Tamedia Romandie (Tribune de Genève, 24 heures, le Matin Dimanche). Previously, Duc worked as a data journalist at SRG-SSR for swissinfo.ch, quantitative analyst for a hedge fund and did a PhD in computational biology.
Genève R user group Co-organiser, Course Developer and Instructor at EPFL Extension School.
Course Developer & Instructor at EPFL Extension School, Senior Lecturer in Statistics and Probability at University of Geneva.
Statistician at the Geneva University Hospitals. Regularly teaches statistics using R.
Former R-Ladies Lausanne co-organiser and Postdoc at EPFL, now Data Analyst in Helsinki, Finland.
satRday is dedicated to providing a harassment-free and inclusive conference experience for all in attendance regardless of, but not limited to, gender, sexual orientation, disabilities, physical attributes, age, ethnicity, social standing, religion or political affiliation. We do not tolerate harassment of participants (including organisers and vendors) in any form. Sexual innuendos and imagery are not appropriate for any conference venue, including presentations. Anyone violating these rules may be given warning or expelled from the conference (without a refund) at the discretion of the conference organisers. Our code of conduct/anti-harassment policy can be found here.