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28th February 2018
09:30 to 10:00 Registration, tea and coffee
10:00 to 10:10 Welcome and Introduction Richard Samworth (University of Cambridge)
Jane Leeks (Turing Gateway to Mathematics)
Session 1: Latest Advances in Statistical Scalability Research (Chair: Po-Ling Loh, University of Wisconsin-Madison)
10:10 to 10:50 Making sense of Human Microbiome Data Sergio Bacallado (University of Cambridge)
10:50 to 11:30 Data Science for Networked Data Po-Ling Loh (University of Wisconsin-Madison)
11:30 to 11:50 Tea and coffee break
Session 2: Big Data Challenges - Healthcare (Chair: Jonathan Rougier, University of Bristol)
11:50 to 12:20 Delivering Better Treatments to the Right Patients Faster and More Safely : Opportunities for Big Data to Improve Pharmaceutical R&D Chris Harbron (Roche Pharmaceuticals )
12:20 to 12:50 Genomics Research at EBI: Challenges in Statistical Scaling Nick Goldman (European Bioinformatics Institute, Cambridge)
12:50 to 13:00 Questions and Discussions
13:00 to 14:00 Lunch and Posters
Session 3: Big Data Challenges - Energy and Environment (Chair: Adam Sykulski, Lancaster University)
14:00 to 14:30 Future Challenges for Scaling Big Data at the National Grid Andrew Richards (National Grid)
14:30 to 15:00 Scalable Inference for Complex Environmental Data Sofia Olhede (University College London)
15:00 to 15:10 Questions and Discussions
15:10 to 15:30 Tea and Coffee Break
Session 4: Big Data Challenges - Communications (Chair: Yi Yu, University of Bristol)
15:30 to 16:00 Big Data Challenges in the Performance of Large IP Networks Dave Yearling (BT Head office)
16:00 to 16:30 Taking Big Data Upstream: Trading Storage for Approximation GCHQ Speaker (GCHQ)
16:30 to 16:50 Questions, Discussion and Wrap-up
17:00 to 18:00 Drinks and Networking Reception