Consultants with best match for selected project

Project title

Elucidating the molecular mechanisms of age-related muscle loss to inform Artificial Intelligence-based discovery of novel peptide therapeutics for sarcopenia.

Semantic footprint of project

accelerator, Accounting, age, age-related, ageing, Artificial Intelligence, clinical trials, complexity, data, develop, disease, disorders, driving, Human, industry, injury, knowledge, modelling, models, muscle, peptide, Researcher, systems, therapies

Enhance matching with

Enrich footprint using the Knowledge Graph?
Consider experience level based on structured data?

Consultant	Strengths	Score
Christopher Mcdonalid	data, systems	100
Denil Pereira	data, develop	100
Eddie Ferguson	data, Human	100
Jackson White	Artificial Intelligence, driving	100
Joel Mccoy	data, develop	100
Tom Bishop	develop, models	100
Alfred Jorgensen	systems	50
Blake Wood	develop	50
Dylan Addy	systems	50
Lucas Nielsen	systems	50
Luis Day	systems	50
Tim Riviere	data	50
Tristan Morin	develop	50