Mon, 26 Nov 2018 9:00 AM - 6:00 PM
The Cambridge Big Data Strategic Research Initiative links together several hundred researchers across the University of Cambridge and beyond, to foster interdisciplinary collaborations in the fields of data science, data-driven discovery, and AI.
This Symposium will showcase cross-disciplinary research, and also highlight research challenges, with a particular focus on projects involving biosciences and clinical medicine.
Programme Schedule:
| 08:45 - 09:20 |
Regsistration and Coffee |
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| 09:20 - 09:30 | Housekeeping / Opening Remarks |
Anna Vignoles (Faculty of Eductaion) |
| 09:30 - 09:40 | ATI Introduction |
Zoe Kourtzi (The Alan Turing Institute)
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Session 1: Physical Science Chair: Richard McMahon |
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| 09:40 - 10:00 |
Big data in the LHC, and a personal view of the state of Machine Learning within particle physics |
Chris Lester (Physics) |
| 10:00 - 10:20 |
The Cambridge Centre for Doctoral Training in Data Intensive Science |
Kaisey Mandel(DPMMS/Astronomy) |
| 10:20 - 10:40 | Towards exascale simulations of our Universe |
Debora Sijacki(Astronomy)
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| 10:40 - 11:10 |
Morning Coffee Break
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Session 2: Bio Sciences Chair: Gos Micklem |
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| 11:10 - 11:30 |
Using cryoEM to define the structures of large and complex energy-transducing enzymes |
Judy Hirst (MRC MBU) |
| 11:30 - 11:50 |
Observing the world from space |
David Coomes (Plant Sciences) |
| 11:50 - 12:10 |
Discovering ancient populations and human ancestry using global genome sequence data |
Aylwyn Scally(Genetics)
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Session 3: Early Career Chair: Jatinder Singh |
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| 12:10 - 12:20 |
Active learning: Data quality over quantity |
Sian Gooding(Computer Lab) |
| 12:20 - 12:30 |
Data-driven evaluation of en masse treatment in Uganda |
Goylette Chami(Pathology) |
| 12:30 - 12:40 |
The impact of data analytics on fundamental rights |
Heleen Janssen(Computer Lab) |
| 12:40- 12:50 |
Big Data; Small computation |
Daniel Bates (Computer Lab) |
| 12:50 - 13:00 |
Performance tuning with structured bayesian optimisation and reinforcement learning |
Eiko Yoneki(Computer Lab) |
| 13:00 - 13:10 | Decoding biology through Variational Autoencoders |
Helena Andres Terre(Computer Lab)
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| 13:10 - 14:00 |
Lunch
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Session 4: AI in Healthcare Chair: Carola-Bibiane Schönlieb and Mihaela van der Schaar |
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| 14:00 - 14:20 |
Machine learning tools for early diagnosis and prediction in dementia |
Joseph Giorgio(Adaptive Brain Lab) |
| 14:20 - 14:40 |
Prägnanz : Building AI based clinical workflows for radiotherapy & radiomics research |
Rai Jena (Oncology) |
| 14:40 - 15:00 |
Big data/big sick: Data science and critical illness |
Ari Ercole (Medicine)
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Session 5: Social Sciences Chair: Anna Vignoles |
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| 15:00 - 15:20 |
Data, machine learning, and connecting with customers |
Orlando Machado(Aviva) |
| 15:20 - 15:40 |
GDPR and 'Big Data' research |
David Erdos (Faculty of Law) |
| 15:40 - 16:00 | Real-time analysis of urban sensor data |
Ian Lewis (Department of Computer Science and Technology)
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| 16:00 - 16:30 |
Afternoon Tea Break
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Session 6: Humanities Chair: Anne Alexander |
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| 16:30 - 17:00 |
Data mining English family history society records |
Gill Newton(CAMPOP) |
| 17:00 - 17:30 | The Concept Lab | Pete de Bolla(English) |
| 17:30 - 17:40 | Closing Remarks |
Filippo Spiga(Cambridge Big Data)
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| 17:40 - 18:40 | Wine Reception and Networking | |