- 💻 Computer Science master's graduate from EPFL, Switzerland, focusing on Data Analytics and Machine Learning.
- 🌎 Passionate about using AI to combat climate change and make a positive impact on the world.
- 💿 In a previous life, I was a multi-platinum Audio Engineer in the music industry.
- ☕ Coffee lover.
- 🌊 Machine Learning Approaches to Predicting the El Niño-Southern Oscillation: Designed and implemented novel deep learning approaches using Convolutional and Graph Neural Networks to model spatiotemporal data and enhance the prediction of El Niño-Southern Oscillation events. [Spatiotemporal Data Modeling, Time Series Forecasting, CNNs, GNNs, PyTorch, Xarray] (GitHub)
- 📣 Mining Effective Strategies for Climate Change Communication: Tackling Climate Change with Machine Learning workshop at ICLR 2023 (Publication)
- ♻️ Kyoto Protocol / GHG Emission Tracker: Dynamic and interactive data visualizations using D3.js to track the effect of the Kyoto Protocol in reducing Greenhouse Gas emissions. [JavaScript, D3] (GitHub | Video)
- 🗣️ Speech Classification: Classified speakers using Machine Learning and Deep Learning algorithms trained on MFCC features and wav2vec representations of audio files. [Python, Scikit-Learn, PyTorch] (GitHub)
- 🎬 Characterizing Patronage on YouTube: Conducted a matched observational study on a large-scale dataset of 73 million YouTube videos. Analyzed time series and proposed a change point detection algorithm. [Python] (GitHub)
- 🌎 CountryScan50: Interactive and responsive Web App that lets you visualize a country’s population’s age distribution for a specific year. [Flask, Python, JavaScript, D3] (GitHub | Video)
- 🌤️ Weather App: Swift application displaying the weather forecast for a selected city. [Swift] (GitHub)
- 👨🔬 Higgs Boson challenge: Developed machine learning algorithms to analyse events coming from simulated particle collisions observed by the Large Hadron Collider at CERN, and try to predict events that will produce a Higgs boson. [Python, Jupyter] (GitHub)
