Patrick Laub
Senior Lecturer at UNSW
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolPatrick Laub is a Senior Lecturer at UNSW with 14 years of experience bridging actuarial science, applied probability and software engineering. He designs and teaches project-based AI and ML courses for actuaries, notably a hands-on deep learning course using Python and Keras that progresses from tabular data to NLP and image tasks. His PhD—undertaken jointly at the University of Queensland and Aarhus University—focused on computational methods in applied probability, and his postdoctoral work developed scalable empirical dynamic modeling for complex social and health systems. Patrick combines rigorous mathematical training and top academic grades with production software experience (including a Google internship building a cross-platform package manager), enabling him to translate research-grade methods into practical tools and classroom projects.
14 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Mathematical Statistics and Probability, Doctor of Philosophy - PhD, Mathematical Statistics and Probability at The University of QueenslandBachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at The University of British ColumbiaSt. Patrick's College, Mackay
Stackoverflow
21reputation
738reached
1answer
0questions
Github Skills (28)
distributions10
r-package9
causal8
julia8
modeling7
checker6
stat6
python6
displays4
binder4
pluto4
abc4
bind3
pypi3
cookbook3
Programming languages (6)
Github contributions (5)
Pat-Laub/Pat-Laub.github.io
Jul 2017 - Jan 2022
Contributions:135 pushes, 1 branch in 4 years 6 months
Pat-Laub/DeepLearningForActuaries
Sep 2022 - Mar 2025
The lecture slides from my recent "Deep Learning for Actuaries" courses (coded ACTL3143 & ACTL5111) at UNSW.
Contributions:2 PRs, 104 pushes, 2 branches in 2 years 6 months
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