Oleksandr Shchur
Applied Scientist at AWS AI.
I’m an Applied Scientist at AWS AI in Berlin, where I work on AutoGluon. Currently my research focuses on time series forecasting and AutoML.
I did a PhD in machine learning at the Technical University of Munich, supervised by Stephan Günnemann. During my PhD I primarily worked on temporal point processes (TPPs) — probabilistic models for continuous-time event sequences, such as user activity on social media or earthquake sequences in seismology.
If you want to learn more about my research, have a look at my blog or my PhD thesis.
news
Jul 15, 2022 | Check out my PhD thesis on neural temporal point processes. |
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Jul 1, 2022 | I joined AWS AI in Berlin, where I will work on time series forecasting and the AutoGluon library. |
Jun 27, 2022 | I released a library that extends the functionality of PyTorch distributions with focus on TPPs. |
Oct 12, 2021 | I will be giving a talk on TPPs at the Berlin Timeseries Analysis Meetup (slides). |
Sep 28, 2021 | Our paper on anomaly detection with TPPs has been accepted to NeurIPS 2021. |