More about me
Experience
Postdoctoral Research Fellow, 2023 - present
University College London
Research Scientist (part-time), 2023 - present
Neurowave.AI
Machine Learning Lecturer, UCL, 2022, 2023
* Module: Foundations of Machine Learning. Part of MSc Knowledge, Information and Data Science; full semester teaching, lab demonstration, coursework design and marking; 50+ students
* Module: Machine Learning Methods. Part of MSc Knowledge, Information and Data Science; invited lecturer for 2 weeks’ lectures on Computer Vision.
Education
Ph.D., Computational Neuroscience (No Corrections), University College London, 2018 - 2022
M.S., Information Science (Distinction), University College London, 2017 - 2018
B.A., Business Management (2.1), University of Sheffield 2015 - 2017
Awards
UKRI Studentship: A fully funded PhD studentship at UCL. Four year studentship and tuition fee waived at higher international fee rate.
Dean's List Award, UCL: Awarded to the top 5% MSc students in the Faculty.
Technical skills
Python, Tensorflow, Pytorch, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, Huggingface-transformers, DeepSpeed, BitsandBytes, Nilearn, Nipype Linux-based Graphical Processing Unit (GPU) clusters, Azure, AWC EC2. Git, LaTeX, UnityEngine