Skip to content
View waigwamacha's full-sized avatar

Block or report waigwamacha

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
waigwamacha/README.md

Hello I'm, Macha πŸ•΅πŸ½

🐍 Python πŸ€– Machine Learning πŸ“Š Data Science πŸ“‰ Computational Psychiatry πŸš€ Scientific computing

Since August 2023, I have been working full time at Nova Scotia health as a Research statistician πŸ’». My work mainly involves managing neuroimaging datasets and conducting statistical analyses to predict the onset of depression using multimodal data (brain images, clinical questionnaires). I use linear mixed models, survival analysis and machine learning (XGBoost, survival random forests & CNNs).

In 2023, I completed a Msc in Medical Neuroscience πŸŽ“, where I studied the association of the brain's functional connectivity and familial risk for mood disorders.

πŸ”§ Technologies & Tools

Β Β Β 

✍ Writing

Before I delved in statistics and machine learning, way back in 2017, I had studied fiction at New York University, where I also taught fiction to undergraduate students in 2018 & 2019. I maintain the website for a mental health nonprofit, Project AKILI.

Pinned Loading

  1. brainageprediction brainageprediction Public

    Prediction of age using XGBoost trained on MRI features

    Jupyter Notebook

  2. cnnmlpclassifier cnnmlpclassifier Public

    A convolutional net for predicting age from brain images; the regression task is paired with an age classification task to prevent the model from regressing to the mean.

    Jupyter Notebook