Data Science Research Theme Industry Showcase
- How Data Science is nowadays assisting our Imperial scientists and Industry colleagues?
- Would you like to learn which tools they are applying on their projects?
The FoNS Data Science theme and Imperial-X (I-X) invite Imperial early career researchers and academic staff to a half-day of presentations and stimulating discussions with our researchers and Industry guests.
When: 24 October 2022, 13:30-18:00
Where: 170 Queen’s gate, Council Room (South Kensington campus)
Places are limited, please REGISTER by Friday 21 October, 3:00pm! A confirmation e-mail with further details about this event will be sent to you afterward. Participants will be asked to register on their arrival. If you are not able to attend this event after receiving the confirmation e-mail, please contact Ester Buchaca-Domingo
The below programme will be updated with confirmed speakers and the titles of their talks very soon:
- 13:30 -13:45 Welcome coffee & registration
- 13:45 -13:50 Welcome message by the FoNS Theme Champions and Ambassadors
- 13:50 -15:20 Industry presentations
- 15:20 -15:40 Coffee break
- 15:40 -16:45 Imperial presentations
- 16:45 -17:15 Panel session
- 17:15 -18:00 Drinks & canapes reception
Highlighted Industry speakers:
- Dr Jeremiah Hayes (Lead AI Research Scientist at Accenture) – Title: Data Science Research at Accenture Labs
- Dr Francesca Vianello (Senior Structural Bioinformatics Research Scientist at Exscientia) – Title: Borges Deep variant Library, a Comprehensive A Priori Library of All Possible Resistance Mutants
- Dr Mattia Fiorentini (Head of Machine Learning and Quantum Algorithms at Quantinuum) – Title: Research theme in Machine Learning and Quantum Computation
- Thomas Makkink (Research Engineer at InstaDeep) – Title: Machine Learning in Biology at InstaDeep
- Alexandros Vamvakaris-Skrivanos (Data Scientist at Product Madness) – Title: A Day in the life of a Data Scientist
- Sophie Finnigan (Data Scientist at Faculty) – Title: From one faculty to another
Confirmed Imperial presenters:
- Professor Eric Yeatman (Chair of the Board & Co-Director of I-X; HoD of Electrical and Electronic Engineering) – Title: Overview of Imperial-X (I-X)
- Dr Anastasia Boryvkh (Lecturer at the Department of Mathematics and I-X initiative) – Title: Towards explainable and privacy-preserving machine learning and links to neuroscience
- Dr Cristopher Salvi (Lecturer at the Department of Mathematics and I-X initiative) – Title: Neural differential equations
- Dr Mark Kennedy (Co-Director of the Data Science Institute; Associate Professor at the Business School) – Title: Overview of the Data Science Institute (DSI)
- Dr Barbara Bravi (Lecturer in Biomathematics at the Department of Mathematics) – Title: Interpretable machine-learning models for sequence-based predictions of immune response
Message by our FoNS Data Science theme Champions and Ambassadors: “This event will be of interest to everybody at Imperial including early career researchers (advanced ECRs, Postdocs, Fellows and PhD students in their last year) wanting to know how data science tools can assist them in their own research, and who are interested in connecting people from a diverse range of industries. There will be also networking sessions to facilitate interaction between industry and Imperial researchers. Please save the date and register as soon as possible!”