Data scientist Egge van der Poel will present a keynote during the Data Warehousing & Business Intelligence Summit on March 25th and 26th 2020 about Big Data in healthcare. With some remarkable examples from the clinical practice of the Erasmus Medical Centre he clearly shows that Big Data can quickly lead to tangible added value.
Egge van der Poel is working as a Clinical Data Scientist at the Erasmus Medical Centre in Rotterdam. He holds a BA in Philosophy and a PhD in Elementary Particle Physics. He searched for (and found) the Higgs particle at the Large Hadron Collider of CERN, in Geneva. After his PhD at CERN he trained to be a Medical Physicist and was a Big Data consultant at KPMG before his job at the Erasmus Medical Centre in Rotterdam.
In his presentation ‘How Data Science is creating inequality in Healthcare. And why that’s a good thing’ Egge van der Poel will demonstrate what we can learn from Physics (e.g. the discovery of cosmic microwave background and the discovery of the Higgs particle) and from toddlers… He will share his experience creating value (knowledge and/or euro’s) from data, using examples from his work as a Data Scientist in profit and non-profit sectors. With some remarkable examples from the clinical practice of the Erasmus Medical Centre he clearly shows that Big Data can quickly lead to tangible added value. He will also address his vision how to overcome the shortage of relevant talent.
The Datawarehousing & Business Intelligence Summit takes place on March 25th and 26th 2020 in the Van der Valk Hotel Utrecht, The Netherlands. This seventh edition of the DW&BI Summit will offer a two-day extensive programme with keynotes from speakers within the Business Intelligence field like Keith McCormick, Wayne Eckerson, Dave Wells, Nigel Turner, Rick van der Lans, Peter Boncz, Egge van der Poel, Antoine Stelma, Piethein Strengholt and Tim Schulteis. Again this year the DW&BI Summit brings a very strong line-up of speakers that are willing to share their insights with you. Key subjects this time will be topics like Database Technology, Analytics, Datawarehousing, Data modeling, Data storytelling, Machine Learning, DataQuality and lots more.