Yasin is a first year PhD student in Computer Science and Mathematical Modelling supervised by Sebastian Vollmer at the German Research Center for Artificial Intelligence (DFKI) and TU Kaiserslautern, with a primary focus on Bayesian statistics.

His main research focus lie within Bayesian probabilistic modelling through high-performance computing, studying the effects of stochasticity, GPU acceleration; with applications in medicine, epidemiolgy and ecology. With a primary focus on R, Julia and CUDA programming. He is also an advocate for open-source and fair software usage.

He is a collaborator at Toulouse INP, France where he works on studying amphibian decline due to fungal disease, localised within the Pyrenean Mountains. As a visiting researcher he continues to support and collaborate with Imperial College London’s Covid-19 Real-Time Modelling team assisting with independent research and supporting the UK’s government Covid-19 response. In 2022 he received the SPI-M-O Award for Modelling and Data Support (SAMDS) to recognise those people who have made an exceptional contribution to the work of SPI-M-O. He is also a member of Parkinson’s UK grant award reviewing body.

In his spare time Yasin develops and produces video games as well as developing 3D photorealistic renderings for animations and concept art. His favourite distro of choice is Arch, of course.

  • Neural Ordinary Differential Equations
  • Bayesian hierarchical modelling
  • Mechanistic infectious disease modelling
  • Eco-Epidemiological modelling of the global amphibian decline
  • GPU Accelerated Modelling
  • PhD in Computational Mathematical Modelling (In Progress), 2022 - TBD

    TU Kaiserslautern/German Centre for Artificial Intelligence

  • MSc in Epidemiology, 2020 - 2021

    Imperial College London

  • BSc in Mathematics with Economics, 2015 - 2019

    Aston University