AI3SD are running another virtual seminar series this autumn. Below is the timetable for the series, with links to individual Event and Eventbrite pages. This seminar series starts on Wednesday 13th October and runs every Wednesday until the 15th December. The seminars typically take place 14:00-15:45 BST although there are some that start at 13:00 and on the 24th November the seminar will run in the morning instead.
13/10/2021 – AI3SD Autumn Seminar I: Linked Data, Ontologies & Deep Learning – 14:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
13/10/2021: 14:00 | Automated Chemical Ontology Expansion Dr Janna Hastings (Otto-von-Guericke University & UCL) | Video Link | DOI Link | N/A | ||
13/10/2021: 15:00 | Towards Biological Plausibility Using Linked Open Data Dr Egon Willighagen (Maastricht University) | Video Link | DOI Link | Interview Link |
20/10/2021 – AI3SD Autumn Seminar II: Explainable AI & ML – 14:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
20/10/2021: 14:00 | How can Explainable AI help scientific exploration? Professor Carlos Zednik (Eindhoven University of Technology) | Video Link | DOI Link | Interview Link | ||
20/10/2021: 15:00 | Explainable Machine Learning for Trustworthy AI Dr Fosca Giannotti (University of Pisa) | Video Link | DOI Link | N/A |
27/10/2021 – AI3SD Autumn Seminar III: Data Science 4 Chemistry – 14:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
27/10/2021: 14:00 | Statistics Are a Girl’s best Friend: Expanding the mechanistic Study Toolbox with Data Science Dr Anat Milo (Ben-Gurion University of the Negev) | Video Link | DOI Link | N/A | ||
27/10/2021: 15:00 | Data management: at the root of high-throughput experimentation Dr Nessa Carson (Syngenta) | Video Link | DOI Link | Interview Link |
03/11/2021 – AI3SD Autumn Seminar IV: AI & ML 4 Drugs & Materials – 13:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
03/11/2021: 13:00 | Combining robotics and Machine Learning for accelerated drug discovery Dr Tom Fleming (Arctoris) | Video Link | DOI Link | N/A | ||
03/11/2021: 14:00 | Machine Learning and AI for Drug Design Professor Ola Engkvist (AstraZeneca & Chalmers University) | Video Link | DOI Link | N/A | ||
03/11/2021: 15:00 | Accelerating design of organic materials with Machine Learning and AI Professor Olexandr Isayev (Carnegie Mellon University) | Video Link | DOI Link | Interview Link |
10/11/2021 – AI3SD Autumn Seminar V: Quantum Machine Learning – 13:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
10/11/2021: 13:00 | Learning to Control Quantum Systems Robustly Dr Frank C Langbein (Cardiff University) | Video Link | DOI Link | Interview Link | ||
10/11/2021: 14:00 | The Variational Quantum Eigensolver – progress and near term applications for quantum chemistry Jules Tilly (Rahko & UCL) | Video Link | DOI Link | Interview Link | ||
10/11/2021: 15:00 | Quantum Machine Learning Professor Anatole von Lilenfeld (University of Vienna) | Video Link | DOI Link | N/A |
17/11/2021 – AI3SD Autumn Seminar VI – Medicinal Chemistry – 14:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
17/11/2021: 14:00 | A vision of Medicinal Chemistry for the future Dr Lewis Vidler (UCB) | Video Link | DOI Link | N/A | ||
17/11/2021: 15:00 | What a Medicinal Chemist Needs to Know about Explainable Artificial Intelligence Dr Alexander (Al) G. Dossetter (Medchemica Ltd) | Video Link | DOI Link | Interview Link |
24/11/2021 – AI3SD Autumn Seminar VII: Digital Twins – 10:00-10:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
24/11/2021: 10:00 | The Universal Digital Twin – accessing the world of chemistry Professor Markus Kraft (University of Cambridge) | Video Link | DOI Link | Interview Link |
01/12/2021 – AI3SD Autumn Seminar VIII: Molecules, Graphs & Networks – 14:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
01/12/2021: 14:00 | Chemical Space Exploration Professor Jan Jensen (University of Copenhagen) | Video Link | DOI Link | Interview Link | ||
01/12/2021: 15:00 | The hyperparameter optimisation of graph neural networks for molecular property prediction James Yuan (Heriot Watt University) | Video Link | DOI Link | Interview Link |
08/12/2021 – AI3SD Autumn Seminar IX: Large Spaces – 14:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
08/12/2021: 14:00 | Audacity of huge: Machine Learning for the discovery of transition metal catalysts and materials Professor Heather Kulik (MIT) | Video Link | DOI Link | Interview Link | ||
08/12/2021: 15:00 | Artificial Intelligence for Safer Urban Spaces Professor Zoheir Sabeur (University of Bournemouth) | Video Link | DOI Link | Interview Link |
15/12/2021 – AI3SD Autumn Seminar X: Molecules & Data – 14:00-15:45 BST – Eventbrite Link
Date/Time | Talks | Speaker | Video Link | DOI | Interview Link | |
15/12/2021: 14:00 | Data Driven Molecular Design Dr Barbara Zdrazil (EMBL-EBI & University of Vienna) | Video Link | DOI Link | Interview Link | ||
15/12/2021: 15:00 | Finding Small Molecules and their Metabolites in Big Data Associate Professor Emma Schymanski (University of Luxembourg) | Video Link | DOI Link | N/A |
If you are interested in sponsoring our event series, please contact Dr Samantha Kanza. The sponsorship prices are listed below:
- £300 – logos on all event materials (rolling slides, webpages, flyers, YouTube splashscreens)
Our event series has been generously sponsored by the following sponsors:
Arctoris
Arctoris is a biotech platform company founded and headquartered in Oxford. Led by an experienced team, Arctoris combines robotics and data science to accelerate the development of new therapies. The company’s unique technology platform, Ulysses, automates research processes from target to hit, lead, and candidate, enabling faster R&D based on data with improved quality and depth. To learn more, visit www.arctoris.com.