Open Source Projects
Rax: Composable Learning-to-Rank using JAX.
PyTorchLTR: Learning-to-Rank in PyTorch.
Glint: Spark-compatible parameter server.
I am a senior software engineer at Google Research with interests in ML infrastructure, Learning-to-Rank and Counterfactual Learning. Before joining Google I obtained my PhD at the University of Amsterdam, my MSc at ETH Zürich and my BSc at Delft University of Technology.
You can download my CV here.
Rax: Composable Learning-to-Rank using JAX.
PyTorchLTR: Learning-to-Rank in PyTorch.
Glint: Spark-compatible parameter server.
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. SIGIR, 2019.
,When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. WSDM, 2019.
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