I am a 26 year old data scientist and biologist. I wrote my Master's thesis focusing on the spatial distribution of brain tumors and subject retrieval using deep learning techniques applied to large-scale MRI dataset.
Having gathered a lot of experience in coding and programming, I love applying what I have learned, and have a lot of fun playing around with large datasets and finding new insights in data.
Other than programming, my passions are learning languages, Star Wars, discovering new tech, and engaging with my community.
You can download my thesis and CV from the Contact section. Feel free to look around here and to contact me if you want to collaborate on a project or for other inquiries!
Python
Bash
R
PSQL
JS
CSS
HTML
Linux
Git
Docker
Singularity
MS Office
Google Cloud
Apache Spark
PowerBI
This project concerns part of my master thesis. It focuses on the analysis of brain tumors using multiple large-scale MRI datasets.
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Is Pandas kind of slow ? Do you wish it could be multithreaded ? Try a pure C coded implementation of a CSV parser with Python bindings for fast ETL processes.
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Where will your next million come from? Why not the stock market? Use this LSTM model to predict the next day closing price of your favourite stock. (Not financial advice)
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Didn't hit the jackpot with the LSTM? Try the Roboadvisor, a webapp that uses a simple ML method to find the best ETF portfolio for you. (Not financial advice)
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This project was also part of my master's thesis. It tries to map subject's MRI scans to the same embedding space. The paper is currently under review, and the GitHub repo has to remain private. Anonymized paper upon request.
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