Humans of AI3SD: Paul Dingwall
Humans of AI3SD: Paul Dingwall
This forms part of our Humans of AI3SD Series.
In this Humans of AI4SD interview he discusses data-driven approaches to mechanistic investigation, communicating across disciplines, the lack of progress with AI in synthetic chemistry, and his advice to early career researchers.
AI3SD, Interview
University of Southampton
Dingwall, Paul
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Pauli, Michelle
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Frey, Jeremy G.
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Kanza, Samantha
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Niranjan, Mahesan
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28 June 2022
Dingwall, Paul
a3433e7e-b71c-46a8-a80b-fb4ed505f975
Pauli, Michelle
ba2e52e9-984d-47c6-b32b-c6ff10db9542
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Dingwall, Paul and Pauli, Michelle
,
Frey, Jeremy G., Kanza, Samantha and Niranjan, Mahesan
(eds.)
(2022)
Humans of AI3SD: Paul Dingwall
(Humans-of-AI3SD, 19)
University of Southampton
7pp.
(doi:10.5258/SOTON/AI3SD0239).
Record type:
Monograph
(Project Report)
Abstract
This forms part of our Humans of AI3SD Series.
In this Humans of AI4SD interview he discusses data-driven approaches to mechanistic investigation, communicating across disciplines, the lack of progress with AI in synthetic chemistry, and his advice to early career researchers.
Text
Humans_of_AI3SD_Interview-19_PD
- Version of Record
More information
Published date: 28 June 2022
Additional Information:
Paul Dingwall is a Lecturer, School of Chemistry and Chemical Engineering, at Queen's University Belfast. In this Humans of AI4SD interview he discusses data-driven approaches to mechanistic investigation, communicating across disciplines, the lack
Keywords:
AI3SD, Interview
Identifiers
Local EPrints ID: 469324
URI: http://eprints.soton.ac.uk/id/eprint/469324
PURE UUID: 2cdd1460-9794-41f8-997b-f10508a27fe1
Catalogue record
Date deposited: 13 Sep 2022 16:43
Last modified: 17 Mar 2024 03:52
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Contributors
Author:
Paul Dingwall
Author:
Michelle Pauli
Editor:
Mahesan Niranjan
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