AI in Bioscience Symposium
Description
Are you ready to explore the frontiers of bioscience research? Then join us for an exciting symposium to explore the use of AI in Bioscience research.
AI is a key emerging technology in the biosciences that is already generating interest and unlocking new opportunities that are helping to capitalise on rich sets of biological data, as well as related data from neighbouring fields. AI has been identified as one of the five critical technologies through which the UK can deliver prosperity, security and benefits to the UK and global society and the future of AI in bioscience research funding in the UK is promising, with a clear trend toward increased investment and support.
Date: 19th September 2024, 10am - 2pm
Location: The Diamond, Workroom 2
The symposium will bring together researchers from across the University of 91Ö±²¥ to discuss the transformative power of AI in revolutionising our understanding of the natural world. Join us for a day of inspiring talks and invaluable networking opportunities.
Key topics and confirmed speakers include:
- AI for evolution, ecology, and sustainability
- Dr Thomas Johnson- Biodiversity monitoring
- Dr Robert MacDonald - A neural-network-based computer vision pipeline to place images of bird plumage into a colour pattern space.
- Noah Bourne - Genomic analysis
- Tom Hughes - Remorse sensing
- Dr Euripides Kantaz - Geochemical Processes
- Dr Adam Stanton - Bird calls
- AI for cell and molecular biology
- Professor Per Bullough - Structure determination
- Professor Mike Williamson - NMR spectra analysis
- Dr Min Tao - Epithelial cell mechanics
- Dr Charlotte Vandermeulen- RNA analysis
- Dr Laia Pasquina Lemonche - Unbiased and automated quantitative image analysis of microscopy data
- Dr Xianyuan Liu - Molecular representation learning
- AI for physiology, development, and disease
- Dr Federico Ceriani - Hearing loss prediction
- Professor Mikko Juusola - Modelling neural circuits
- Dr Dawn Walker - Diagnosing cancerous tissue
- Dr Andrew Lin
- Bioinspired and Cross Cutting AI
- Dr Dana Damien - Healthcare Robotics
- Professor Alex Fletcher - Learning from noisy data
- Dr Matt Ellis - Machine learning
- Dr Sam Purchase - Essay writing skills
- Dr Jefersson Alex do Santos - Computer vision and remote sensing
- Dr Mike Smith / Robert Loftin - LLM for zero-shot visual classification
- Dr Zhixiang Chen - Image / video analysis, pose estimation)
- Professor Rob Gaizauskas - Natural language processing
If you are interested in attending then !
Registration closes on the 11th September 2024.