InFoMM Cohort Six

Profile

Research Project: 

• Laser modelling for optimisation of kidney stone removal (Boston Scientific)

Mini Projects:

• Modelling of Laser-Induced Cavitation Bubbles for Ureteroscopy 
• Optimal Storage Placement in River Systems (Arup)

Profile

Research Project: 

• Labour market impacts of the post-carbon transition: Applications to China and India (BEIS)

Mini Projects: 

• Labour market impacts of the post-carbon transition in the US: A networks perspective (BEIS)
• Machine Learning Based Triage Models for Remote Detection and Care of Influenza (Vironix)

Profile

Research Project: 

• Clearance paradigms for network models of prion-like proteopathy development throughout the brain (Simula)

Mini Projects:

• Clearance paradigms for network models of prion-like proteopathy development throughout the brain (Simula)
• Optimising of Filter Geometry: Modelling the Contaminant Build-up and Efficiency (Beko)

Profile

Research Project: 

• Investigating Graph-Based Machine Learning Methods in Drug-Discovery (Lhasa)

Mini Projects:

• Transfer Learning as a Technique to Utilise Machine Learning for Predictions of ITER Plasma Behaviour (CCFE)
• Investigating Molecular Graph Convolution in Drug Discovery: Application to SARS-CoV-2 MainProtease Inhibitors (Lhasa)

Profile

Research Project: 

• Modelling the formulation and characteristics of sustainable fuel components (BP)

Mini Projects:

• Measuring Octane Number in Fuels (BP)
• Beyond the Law of Mass Action in Reactive Cleaning (Gore)

Profile

Research Project: 

• Deep Reinforcement Learning in Finance (ATI)

Mini Projects:

• Adversarial Model Selection in Risk Management (ATI)

Profile

Research Project: 

• Modelling chemical and transfer processes in a concept silicon reactor (Elkem)

Mini Projects: 

• Clogging of Charge in Silicon Furnaces (Elkem)
• Extensions to Robust Vehicle Routing (Tesco)

Profile

Research Project: 

• Second order optimisation for machine learning (NAG)

Mini Projects:

• Sparse and Low-Rank Regularisation for Robust Deep Nets (NPL)
• Optimisation Challenges in Machine Learning (NAG)

Profile

Research Project: 

• Modelling the carding of recycled carbon fibre (Gen 2 Carbon)

Mini Projects:

• Carding of Recycled Carbon Fibres (ELG Carbon Fibre)

Contact Sophie Hurden or call +44 (0)1865 6 11512