16 October 2019

What can Big Data do for Chemistry II

Organised by:

SCI's Fine Chemicals Group

London, UK

Register for this event

Prices start from £95.00

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

For more information and to register for Leaders of the future: Effective networking for mid-career professionals, please click here.

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
Machine Learning in Drug Discovery – Moving Beyond the Hype
Dr Pat Walters, Relay Therapeutics, USA
11.20
Refreshment break
11.40
The Sceptical Chymist – Will Big Data make a Big Difference?
Dr Allan Jordan, Sygnature Discovery, UK
12.20
Bridging chemistry and biology – Filling the gap with artificial intelligence
Dr Oscar Mendez Lucio, Bayer Crop
13.00
Lunch
14.00
Talk tile to be confirmed
Dr Marwin Segler, BenevolentAI, UK
14.40
AI, cheminformatics, computational and medicinal chemistry: getting the best out of everyone
Dr Darren Green, GlaxoSmithKline, UK
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
Giving Chemists the Comp Chem Tools for What They Want and What They Need
Dr Georgia McGaughey, Vertex, USA
17.20
Networking reception
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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Organising Committee
  • Dr Al Dossetter, SCI / MedChemica Limited
  • Dr Pascal Savy, SCI / Charles River Laboratories
  • Dr Felix Calderon, SCI / GlaxoSmithKline