skip to primary navigationskip to content
 

Cambridge Big Data Research Symposium

When Nov 26, 2018
from 09:00 AM to 06:00 PM
Where Sainsbury Laboratory Cambridge University, Bateman St, Cambridge CB2 1LR
Add event to calendar vCal
iCal

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                             

09:20 - 09:30    Housekeeping / Opening Remarks    

Anna Vignoles (Faculty of  Eductaion)

09:30 - 09:40 ATI Introduction

Zoe Kourtzi (The Alan Turing Institute)

 

Session 1: Physical Science

Chair: Richard McMahon

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)

 

10:40 - 11:10

Morning Coffee Break

 

Session 2: Bio Sciences

Chair: Gos Micklem

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)

 

 

Session 3: Early Career

Chair: Jatinder Singh

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)

 

13:10 - 14:00

Lunch

 

Session 4: AI in Healthcare

Chair: Carola-Bibiane Schönlieb and Mihaela van der Schaar

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)

 

 

Session 5: Social Sciences

Chair: Anna Vignoles

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 (Institute of Public Health / MRC)

 

16:00 - 16:30

Afternoon Tea Break

 

Session 6: Humanities

Chair: Anne Alexander

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)

 

17:40 - 18:40 Wine Reception and Networking

 

Registration:

Academic Attendees

Registration for Academic Attendees is FREE but essential as places are limited. Please complete Registration HERE.

Industry and Other Non-Academic Partners

There is a Registration Fee of £50 for Industry Partners.  The Registration Fee includes admission to all seminars, copy of the programme, lunch, refreshments and a wine reception. Other meals or accommodation are not included.

Once you have completed your online Registration HERE, please complete your Payment HERE and email a copy of your payment confirmation or reference number to bigdata@mrao.cam.ac.uk.

 

Registration for this event has closed.

 

How to find the Sainsbury Laboratory.