A list of projects I’ve posted about.
TableDiffusion
A deep learning algorithm I developed for training diffusion models on tabular data under differential privacy guarantees.
Projects
FOMO: LLM embeddings to keep up with AI
An open source newsreader app I built using LLM embeddings to semantically prioritise arXiv and Github updates.
Watch and learn
Winning EF鈥檚 Bio x AI hackathon with a multimodal LLM for lab protocol automation.
Building PorePatrol LLM at the Anthropic Hackathon
We used LLaVA and Claude to build a crazy multimodal LLM health assistant. OpenAI made it redundant the next week.
Learning quant. trading with ML on Numerai
Making 95% annual return on the hardest data science tournament in the world, for fun and profit.
Generative models for synthesising private datasets
My MSc thesis and what it aims to do for biomedical science.
Quantified Sleep
This project applied statistical learning techniques to an observational Quantified-Self (QS) study to build a descriptive model of sleep quality. A total of 472 days of my sleep data was collected with an Oura ring. This was combined with a variety of lifestyle, environmental, and psychological data, harvested from multiple sensors and manual logs.
Reviewing my 2020 predictions
How I almost outsmarted 3 pro forecasters using Bayes rule.
Gianluca's Predictions for 2020
Trying to out-forecast Vox in 2020. What could go wrong?
My older projects
A selection of my older projects (pre ~2019) transferred from an old website for posterity.