Tegan Maharaj
Assistant Professor at MILA (Montreal Institute for Learning Algorithms)
Canada
Summary
👤
Senior🎓
Top SchoolTegan Maharaj is an assistant professor and machine learning researcher with 11 years of experience focused on responsible AI and high-impact ecological applications such as climate change, epidemiology, and ecological impact assessment. She combines deep learning for policy analysis and risk mitigation with careful experimental design—creating unit-test-style environments to probe learning behavior and simulate deployments. Trained in both computer science and environmental sciences (BSc degrees in Biology and Environmental Science, MSc in Computer Science, PhD work at MILA), she studies not just data but the broader learning environment: task specification, loss design, regularization, and societal deployment contexts. Passionate about AI ethics and safety, Tegan brings interdisciplinary rigor to applied ML problems and seeks collaborators who care about scientifically grounded, societally-aware AI solutions.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Mila - Quebec Artificial Intelligence InstitutePolytechnique MontréalMaster's Degree, Computer Science, Master's Degree, Computer Science at Bishop's University
Github Skills (24)
mathematical-expressions10
theano10
multidimensional-arrays9
python9
pymc9
regularizer8
deep-learning8
tensorflow8
machine-learning8
simulation8
simulator7
prediction-model7
neural-network6
java6
modeling5
Programming languages (7)
Github contributions (5)
teganmaharaj/zoneout
Jul 2016 - Sep 2016
Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.
Contributions:7 commits, 8 pushes, 1 branch in 1 month
regularizer
teganmaharaj/tp2_rnn
Feb 2019 - Feb 2019
Contributions:31 pushes, 1 branch in 6 days
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