The University of Southampton
University of Southampton Institutional Repository

AI3SD Interview with Professor Matthew Todd

AI3SD Interview with Professor Matthew Todd
AI3SD Interview with Professor Matthew Todd
This interview forms part of our AI3SD Interview Series. Professor Matthew Todd, a Professor of Drug Discovery from University College London was interviewed by Michelle Pauli at our AI3SD Network+ Conference in 2019. Matthew is a PI on one of the funding projects from AI3SD-FundingCall1.
AI3SD, Interview, Artificial Intelligence, Drug Discovery, Drug Candidates, Machine Learning
6
University of Southampton
Pauli, Michelle
ba2e52e9-984d-47c6-b32b-c6ff10db9542
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Pauli, Michelle
ba2e52e9-984d-47c6-b32b-c6ff10db9542
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f

Pauli, Michelle , Kanza, Samantha and Frey, Jeremy G. (eds.) (2020) AI3SD Interview with Professor Matthew Todd (AI3SD-Interview-Series, , (doi:10.5258/SOTON/P0029), 6) University of Southampton 4pp.

Record type: Monograph (Project Report)

Abstract

This interview forms part of our AI3SD Interview Series. Professor Matthew Todd, a Professor of Drug Discovery from University College London was interviewed by Michelle Pauli at our AI3SD Network+ Conference in 2019. Matthew is a PI on one of the funding projects from AI3SD-FundingCall1.

Text
AI3SD-Interview-Series_Interview-6-MT - Version of Record
Available under License Creative Commons Attribution.
Download (274kB)

More information

Published date: 20 August 2020
Keywords: AI3SD, Interview, Artificial Intelligence, Drug Discovery, Drug Candidates, Machine Learning

Identifiers

Local EPrints ID: 443554
URI: http://eprints.soton.ac.uk/id/eprint/443554
PURE UUID: 0f692824-ae8a-4cc3-bab9-7fb9f13fa892
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 01 Sep 2020 16:31
Last modified: 07 Oct 2020 02:24

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×