Phillip Lippe
PhD Candidate
Amsterdam, North Holland, Netherlands
Summary
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RockstarPhillip Lippe is a PhD candidate at the University of Amsterdam and a machine learning practitioner with nine years of professional experience. Based in Amsterdam, he contributes to research at the QUVA Lab while serving as a Google Developer Expert for JAX/Flax, signaling deep expertise in modern ML frameworks. His profile blends academic rigor with practical tooling knowledge, positioning him to bridge cutting-edge research and production ML implementations. Quietly, his dual role suggests he’s comfortable translating complex model research into accessible developer guidance and community-facing contributions.
9 years of coding experience
Github Skills (45)
lightning10
notebook10
pytorch10
spring10
jupyter10
summaries10
machine-learning10
ipython10
pytorch-lightning10
flax10
deep-learning10
wandb10
jupyter-notebook10
jax10
python-scripts10
Programming languages (5)
Github contributions (5)
phlippe/ENCO
Jul 2021 - Nov 2022
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
Contributions:10 commits, 8 pushes, 2 branches in 1 year 3 months
causal-discoverycausalitypytorchstructure-learning
phlippe/SentimentClassification_TreeLSTM
Nov 2018 - Jan 2021
Contributions:43 commits, 34 pushes, 1 branch in 2 years 1 month
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