16 October 2019
What can Big Data do for Chemistry II
Organised by:
SCI's Fine Chemicals Group
London, UK
Registration Closed
This event is no longer available for registration.
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Synopsis
Big Data is the process of analysing high volume, high velocity data by advanced computational methods that produce actionable knowledge. A system that suggests actions to a user is one definition of Artificial Intelligence (AI). These approaches have thrown up surprising, often counter-intuitive results, in many industries especially in on-line retail for example. Other industries have achieved a clear bottom line benefit out of Big Data (and AI), but what can it do for chemistry? In this second running of this meeting the presenters will talk about what these techniques have done and should bring to augment the working environment of chemists. The conference is for chemists interested in learning more and for decision makers who want an update on what is going on (as opposed to a technical conference by leading computing specialists).
This event is followed by Leaders of the future: Effective networking for mid-career professionals. Registration for this networking event is free of charge.
Attendees
The conference will be of interest to chemists interested in learning more and for decision makers who want an update on what is going on (as opposed to a technical conference by leading computing specialists).
Programme
What can Big Data do for Chemistry II
- 09.00
- Registration and refreshments
- 09.50
- Welcome and introduction
- 10.00
- How AI is changing the face of Chemical Discovery
Prof Jeremy Frey, University of Southampton, UK - 10.40
- Giving Chemists the Comp Chem Tools for What They Want and What They Need
Dr Georgia McGaughey Vertex, Boston, USA - 11.20
- Refreshment break
- 11.40
- Machine Learning in Drug Discovery – Moving Beyond the Hype
Dr Pat Walters, VP Computation at Relay Therapeutics, Boston, USA - 12.20
- The Sceptical Chymist - Will Big Data make a Big Difference?
Dr Allan Jordan, Director Sygnature Discovery - 13.00
- Lunch
- 14.00
- Never mind the building blocks - Here's Molecular Design with Generative Models
Dr Marwin Segler, BenevolentAI, UK - 14.40
- Bridging chemistry and biology – Filling the gap with artificial intelligence
Dr Oscar Mendez Lucio, Bayer Crop - 15.20
- Refreshment break
- 15.40
- Introduction to Big Data in Predictive Toxicology - case studies
Prof Daniel Neagu, University of Bradford, UK - 15.50
- Case Study 1
Dr Anna Palczewska, Leeds Beckett University, UK - 16.10
- Case Study 2
Dr Pritesh Mistry, University of Huddersfield, UK - 16.30
- AI, cheminformatics, computational and medicinal chemistry: getting the best out of everyone
Dr Darren Green, GlaxoSmithKline, UK - 17.20
- Networking reception
This event is followed by Leaders of the future: Effective networking for mid-career professionals. Registration for this networking event is separate and free of charge.
Leaders of the future: Effective networking for mid-career professionals
- 17.30
- Registration
- 20.30
- Close
Venue and Contact
SCI
14-15 Belgrave Square London SW1X 8PS
Conference Team
Tel: +44 (0)20 7598 1561
Email: conferences@soci.org
Fees
Early bird fees before Monday 2 September 2019
| £95 | SCI Member | |
| £30 | SCI Student Member | |
| £65 | SCI Subsidised Member | |
| £125 | Non-Member |
Standard fees after Monday 2 September 2019
| £135 | SCI Member | |
| £45 | SCI Student Member | |
| £90 | SCI Subsidised Member | |
| £175 | Non-Member |
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Booking Process/Deadlines
For booking terms and conditions click here.CPD Info
SCI Members attending this meeting are able to claim CPD points.
Organising Committee
- Dr Al Dossetter, SCI / MedChemica Limited
- Dr Pascal Savy, SCI / Charles River Laboratories
- Dr Felix Calderon, SCI / GlaxoSmithKline