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George Yiasemis

George Yiasemis

PhD student

Phone Email Jonas Teuwen

Hi! I have recently completed my MSc studies in AI and I also have a BSc in Mathematics. I am a hardworking individual, with a proven track record of academic excellence.  I always enjoy teamwork and during my free time, I like being involved in voluntary work and I also enjoy playing tennis, cooking, and travelling.

I have always aimed to obtain a mixture of theoretical and applied knowledge from my studies, which would enable me to contribute to applicable areas such as the field of Health Care. My personal aspiration is to unlock hidden and undiscovered areas while aiming to improve our quality of life and ultimately saving lives!

That is why since April 2021, I am pursuing a PhD in 'Active MRI acquisition and real-time tracking of tumors and organs-at-risk during MRI-guided radiotherapy using AI' at the NKI. I am embedded in the group ‘AI for Oncology’, led by Dr Jonas Teuwen and I am working closely with Dr Jan-Jakob Sonke’s group, ‘Adaptive Radiotherapy’. The goal of my research here at the NKI is the acceleration of the MRI acquisition using AI techniques, that would lead into a real-time tracking of the tumor, while applying radiotherapy.

 


Fields of expertise

Artificial Intelligence

Pure and Applied Mathematics

Work experience

  • 2020-2021: Quantitative Researcher, Tickmll Europe |
                             Machine and Deep Learning for predicting the
                             future behavior of financial markets
  • 2019-2020: MSc in Artificial Intelligence, Imperial College
                              London | MSc Thesis: 'Mirror Descent and
                              Interacting Mirror Descent: Almost Dimension-
                              Free Convex Optimisation for Non-Euclidean
                              Spaces'
  • 2015-2019: BSc in Mathematics, University Of Cyprus | Top
                              Graduating Student of Faculty of Pure and
                              Applied Sciences | BSc Thesis: 'Computational
                              approach of the Orr-Sommerfeld equation with
                              the Finite Elements Method'

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