Yash Deo Case study

Yash Deo

Yash Deo, a postgraduate researcher from India, was inspired to pursue his PhD at Leeds after studying for a Masters degree in Artificial Intelligence with his supervisor, Dr Toni Lassila. Yash is part of the Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) research group, which applies methods from computational sciences, engineering, and mathematics and to improve understanding and treatment of human diseases.

Artificial Intelligence and Medical Imaging

Yash’s current research is based around using simulated data for medical imaging, which he hopes will make a lasting contribution to society.

I believe AI has tremendous scope in the field of medicine, having witnessed first-hand the incredible research going on in this field at Leeds.

Yash Deo, University of Leeds

The potential of Artificial Intelligence (AI) in the medical sector, Yash explained, is an exciting prospect. He said: “I believe AI has tremendous scope in the field of medicine, having witnessed first-hand the incredible research going on in this field at Leeds”.

Choosing to study at Leeds

After being offered a scholarship by the School of Computing, Yash began his PhD under the supervision of Dr Toni Lassila who has expertise in numerical methods in cardiovascular modelling, reduced order models, and uncertainty quantification.

Yash said: “I had a great time while working on my Masters thesis with my supervisor. Hence, when a research position opened up under my supervisor in the topic I am very interested in, it made it a very easy decision for me to apply for a PhD at this university.”

Future plans

In the future, Yash hopes to push the boundaries of  Artificial Intelligence in the medical field. He said:

 My end goal would be to push the boundaries of this field in such a way that medicine will...  be accessible through AI, so that each and every person could receive the full benefit of it regardless of their background.

Yash Deo, University of Leeds

“My end goal would be to push the boundaries of this field in such a way that medicine will not only be able to tackle problems that were unsolvable before, but also would be so accessible through AI, so that each and every person could receive the full benefit of it regardless of their background.”

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