IRIS-HEP Fellow: Maxym Naumchyk



Fellowship dates: Jul – Aug, 2022
Jun – Sep, 2023
Jul – Sep, 2024
Mar – Jul, 2025

Home Institution: Igor Sikorsky Kyiv Polytechnic Institute


Project: Improving and simplifying the Coffea library

The goal of this project is to make coffea library more compatible with other libraries, such as Awkward, Uproot, Dask-awkward. This project will also make it easier to propagate changes in these libraries to coffea.



More information: My project proposal

Mentors:

  • Ianna Osborne (Princeton University)

  • Peter Fackeldey (Princeton University)


Project: Integrating ML algorithms for LHC data compression into the ESCAPE Virtual Research Environment

Integrate one of the current state-of-the-art ML algorithms designed for LHC data compression into the ESCAPE Virtual Research Environment as a part of the European Open Science Cloud. The successful results of the project will open the possibility of extending the use of this algorithm to other experiments and fields.



More information: My project proposal

Mentors:

  • Caterina Doglioni (University of Manchester)


Project: Machine Learning on Network Data for Problem Identification

To provide a more effective method of identifying certain types of network issues using machine learning so that such problems can be quickly resolved before they impact scientists who rely on these networks.



More information: My project proposal

Mentors:

  • Shawn McKee (University of Michigan)

  • Petya Vasileva (University of Michigan)


Project: Adding new features to the Awkward-Array library

To add new QOL features to the Awkward library and to improve interconnection with similar features for ragged arrays, like RaggedTensor in TensorFlow’s library and NestedTensor in PyTorch.



More information: My project proposal

Mentors:

  • Ianna Osborne (Princeton University)

  • Jim Pivarski (Princeton University)

Presentations and Publications
Current Status


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