Kick-off event

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We held our network kick-off event on 11th January 2024 in Birmingham, UK (in person and online). Videos of main talks are available below.

The purpose of the meeting was to overview the plan for the network and to start building a community who can together run events and create and share resources to support the network. It is the first of a set of yearly all-hands meetings for the network.

 Programme:

9.00-9.45am Registration, tea/coffee 

9.45-10.15 Welcome from the AIBIO-UK team and BBSRC 

10.15-10.45 Keynote: Dr Annalisa Occhipinti

10:45-11.20 Interactive session:  Networking 

11.20-11.40 Interactive session: Training and resources 

11.45-12.00 How to get involved  

 LUNCH 

1.00-1.30 Interactive session: Pilot funding and Grand Challenges  

1.15-2.15 pm Interactive session: Event brainstorming 

2.15 – 2.45 Keynote: Dr Sebastian Ahnert

2.45-3.15 Tea break 

3.15 – 3.45 Industry perspective (NVIDIA, Chris Dallago)

3.45-4 AIBIO-UK -Next steps and close of meeting (AIBIO team). 

4pm Meeting end. 

Videos from the Day:

 

 Introduction to AIBIO-UK – Andy French:

 

 

Introduction from Daniela Hensen, BBSRC:

 

 

Industry Perspective (NVIDIA) – Chris Dallago

 

How to get involved with the network:

(link to EOI forms: https://aibio.ac.uk/event-links/ )

 

 Keynote videos are available below.

Keynotes

Dr Annalisa Occhipinti

Teesside University

 

Dr Annalisa Occhipinti is an Associate Professor at Teesside University, where she works at the intersection between AI and Biology. Her current research topics involve the integration of metabolic modelling and multi-modal deep learning techniques for biomedical and bioprocessing applications.

Dr Occhipinti has recently received several awards for her outstanding contributions in the field of machine learning, big data, and cancer research, including an award from the University of Cambridge.

Dr. Occhipinti is currently leading various research projects funded by BBSRC and EPSRC, and she extends her proficiency in AI for bioprocessing optimisation to collaborate with industrial partners and gain valuable data-driven insights.

https://research.tees.ac.uk/en/persons/annalisa-occhipinti

Title: Multimodal AI and metabolic modelling: a comprehensive framework for enhancing biological insights

 

Dr Sebastian Ahnert

University of Cambridge

Alan Turing Institute

Sebastian Ahnert is an Assistant Professor at the Department of Chemical Engineering & Biotechnology, University of Cambridge and a Senior Research Fellow at the Alan Turing Institute. He gained his PhD in theoretical physics from the University of Cambridge and took up a Leverhulme Fellowship there, followed by a Royal Society University Research Fellowship and a Gatsby Career Development Fellowship.

His research interests lie in the intersection of theoretical physics, biology, mathematics and computer science. He is particularly interested in using algorithmic descriptions of structures and functional systems in order to quantify and classify their complexity. Connected to this he is also interested in interdisciplinary applications of network analysis.

 https://www.ceb.cam.ac.uk/staff/dr-sebastian-ahnert 

https://www.turing.ac.uk/people/sebastian-ahnert

Title: ML for biological image analysis at the Alan Turing Institute