I am a Master's graduate in Neuroscience from King's College London (2018, Distinction), specializing in machine learning, causal inference, and neuro-computational modeling. I have expertise in Python, MATLAB, and R, which I use to develop innovative computational tools. I am also proficient in PyTorch, TensorFlow, and NumPy implementations of neural networks, with Coursera specialisations in Advanced TensorFlow and Generative Adversarial Networks. My knowledge spans various machine learning and Bayesian algorithms, including Kalman filters, hidden Markov models, and variational autoencoders. I aim to bridge theoretical research and practical applications, using insights from neuroscience to inspire the design of novel artificial neural networks and adaptive systems.
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Links:

• LinkedIn: Mark A. Griffiths

• Email: markalfredgriffiths@hotmail.com

  • Alternative Email: mark.alfred.griffiths@kcl.ac.uk

Downloads:

• Curriculum Vitae

• MSc Poster​