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There has often been the supposition that biology was the “easy” science, and that the more gifted of us studied chemistry and physics as it was littered with mathematical concepts. It was then with some irony that in modern history, our knowledge of chemistry and physics was massively propelled forward, whereas our knowledge of biology and medicine is still being written. This is in part because the complexity of biology requires the substructure of chemistry and physics to build upon.
Contained within this blossoming field is the future of humanity and our planet. Many traditional mathematical approaches are limited in predictive ability for highly complex interacting systems. However, by combining mathematical modelling with machine learning – some call this AI – we are starting to make incredible progress.
In this talk, we will discuss the past, present and future of AI within biotechnology – and also include how many different careers and specialities have emerged within the sector.
Dr. Jake Taylor-King
Prior to joining Juvenescence, Dr. Jake P. Taylor-King was an award-winning mathematician (G-Research prize, Lee Segel Prize) and aspiring entrepreneur with degrees from the University of Bristol (BSc), the University of Oxford (MSc, D.Phil), and the University of Cambridge (MPhil). His work has broad scope, from theoretical advances (stochastic processes, numerical methods) to applied mathematical modelling (swarm robotics, animal migration).
After a research secondment to the Moffitt Cancer Center, Jake then looked to apply his work in increasingly biomedical settings (bone formation, histology analysis). A short post-doc at the ETH Zürich allowed for a transition into single-cell bioinformatics, which Jake then utilised as Head of Bioinformatics at Empyrean Therapeutics designing and optimising high throughput CRISPR screens.
Dr. Taylor-King is now excited to work with Juvenescence to advance their efforts in exploiting AI for drug development.
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