Cambridge Centre for Cambridge Big Data Research Symposium
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 | |