Projects

IsoP

IsoP is a program that was originally developed by Carly Delvau. It allows the user to estimate isotopic composition of precipitation within Canada given latitude, longitude. The program however, was written originally in MatLab and was not user friendly. I have since rewritten the program in Python and have added a Command Line Interface (CLI) to make it more user friendly.

IsoNet

Undergraduate Thesis Work

This was a proof of conccept thesis project I developed in my final year of my undergrad. The project uses a Long Short Term Memory (LSTM) neural network to estimate the isotopic composition of precipitation given latitude, longitude, altitude, temperature, and precipitation anywhere in Canada. The project was a success, and is now the basis of my Master's thesis.

Master's Thesis Work

I am currently working on this. It uses the same basic principles of the Undergraduate neural network I developed. However, it is supposed to work on a global scale, and will use different features to estimate the isotopic composition of precipitation. It will even uses remote sensing tools so the user only needs to input latitude, longitude, and dates.