I am a physicist turned machine learning scientist. I have experience in time series forecasting, statistical modeling, unsupervised clustering, anomaly detection and natural language processing (NLP). I hold a degree in physics, an MSc in Computational Statistics and Machine Learning from UCL and an MSc in Sound and Vibration Studies from the University of Southampton.
I am currently a research associate at the University of Edinburgh, where I work on NLP and multilingual document matching and alignment at petabyte scale. Before that I was at the Alan Turing Institute, where I used a combination of pre-trained language models, transfer learning, search engine technologies (Elasticsearch) and a vector similarity engine (FAISS) to develop a state of the art system for large scale news article monitoring, fraud detection and question answering.
I have also worked in finance (Cisapline Ltd), developing algorithms for forecasting financial time series using neural network and Gaussian processes and in ML consulting (Machinable), developing ML-based transformation strategies for large corporates. Before my switch to machine learning I had worked for ten years in engineering acoustics, two years in academia (full-time lecturer) and four years in risk management.
I am currently working on NLP. I have experience in natural language based information retrieval, document similarity and clustering, text extraction from pdf documents, etc.
I have worked in time series forecasting, using
signal processing methods, Neural Networks, SVMs,
Gaussian Processes and tree based methods.
I am involved in the World Bank sponsored "Slum World" project,
where we use satelite imaginery to identify slums areas in cities.
I have experience working with Variational Autoencoders,
normalizaing flows and Bayesian models for anomaly detection,
probability density estimation, uncertainty quantification
and synthetic data generation.
I have 15 years experience in engineering acoustics,
noise and vibration control.
Python, Matlab, Tensroflow, Pytorch
Docker, Git, Bash, SLURM, AWS.
Publications, public speaking, etc.