A world-class line-up of engineering gurus, data visionaries and data pioneers will deliver cutting edge practical advice to delegates. Confirmed speakers are:
Algorithmic bias; realistic picture of algorithms
Dr. Gwynn Sturdevant, Volanno and R-Ladies
Dr. Gwynn Sturdevant specializes in algorithmic development of methods used for improving transportation efficiencies. Dr. Sturdevant currently works at Volanno, a company that specializes in providing consulting services to the transportation industry. During her tenure at Volanno, she has worked on analytical projects in the rail and the aviation sectors including: improving Terminal Arrival Efficiency Rate estimation, developing an algorithm to predict train arrival times in a multi-agency rail operating environment, and developing methods to produce unbiased algorithmic results. Dr. Sturdevant developed an extensive Shiny application to assist in balancing trials as a post-doctoral fellow with Ken Kleinman (University of Massachusetts, Amherst and Harvard University). Dr. Sturdevant has a PhD in Statistics from the University of Auckland, the birthplace of R, where she studied under Thomas Lumley (University of Auckland and University of Washington) and Ross Ihaka. She focused on finding long-term effects, after cessation of treatments, when noisy measurements cross a threshold in biometric data.
Dr Adam Hill, HAL24K
Adam is lead data scientist at HAL24K and a recovering astrophysicist. He graduated with a degree in Astrophysics from University College London and subsequently earned his PhD from the University of Southampton. He has worked as a professional research scientist at multiple universities and laboratories around the world including Stanford University and was awarded a prestigious Marie-Curie Research Fellowship. In 2015, Adam, joined the original HAL24K as the first data scientist in the company and has been directly involved in developing many of the products and solutions HAL24K now delivers to its clients. Additionally he has been directly involved in growing the HAL24K data science team to a diverse group of eleven talented data scientists as well as developing education and training relationships within the UK. Adam is also a core volunteer within the DataKind UK community working to help NGOs, charities and the third sector access data science talent and exploit modern data science and AI technology. Most recently Adam was one of the first people to be made a Royal Society Entrepreneur in Residence encouraging data science entrepreneurship and innovation within the UK academic environment.
Willem Blom, Dept
Professor Peter van der Spek, Erasmus MC