Samuel Renaud

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Samuel Renaud

I'm a physics graduate student who loves coding and learning new things. So far, I've had the opportunity to work on several projects.

Designing drugs with AI
Determining aerodynamics and performing flight simulations of the largest student built liquid-fueled rocket
Predict bicycle traffic in Montreal
Built stock pattern analysing AI models

LATENT SPACES FOR ANTIMICROBIAL PEPTIDE DESIGN

https://github.com/samuel-renaud/latent-spaces-amps
RCS digital discovery 2022
DOI: 10.1039/D2DD00091A
Developed deep learning models including VAE,Transformer and GAN based architectures for denovo antimicrobial drug design and deep learning model interpretability.

VAE's For Stock Chart Pattern Recognition

https://github.com/samuel-renaud/stock_pattern_AI
Learning stock patterns from candlestick charts using CNN’s and self-supervised feature learning.

Protein Structure Prediction with Convolutional VAE's

https://github.com/samuel-renaud/AMP_struct_ai
A research project investigating deep learning for protein structure prediction using CNN's and VAE's.

Montreal Cyclist Traffic Prediction with Deep Learning

https://github.com/samuel-renaud/comp6321-AI-Bike-Counter
A research project comparing deep learning and classic machine learning approaches for Montreal cyclist traffic prediction.

Safety Analysis for Sub-Orbital Rocket Launches From Churchill Manitoba

https://iafastro.directory/iac/paper/id/72654/summary
Presented at the international Astronautical Congress, Paris 2022.
Analysis of flight safety and expected casualty calculation from the launch of the StarSailor sub-orbital rocket from a hypothetical launch site near the town of Churchil, Manitoba.