********
About us
********

PyVBMC is an open-source Python software for resource-efficient statistical inference.

The development of PyVBMC has been generously funded by the `Finnish Center for Artificial Intelligence FCAI <https://fcai.fi/>`_.


Development team
****************

PyVBMC is actively developed mainly by members of `Luigi Acerbi's research group <https://www2.helsinki.fi/en/researchgroups/machine-and-human-intelligence>`_ at the University of Helsinki.

Core developers
------------------------

Active developers, in order of joining:

- `Luigi Acerbi <https://www2.helsinki.fi/en/researchgroups/machine-and-human-intelligence/people#section-99451>`_, University of Helsinki
- `Chengkun Li <https://pipme.github.io/>`_, University of Helsinki
- `Bobby Huggins <https://www2.helsinki.fi/en/researchgroups/machine-and-human-intelligence/people#section-111359>`_, University of Helsinki

Development team alumni
-------------------------

Developers who have made important contributions in the past, but are no longer contributing actively:

- `Marlon Tobaben <https://www.linkedin.com/in/marlon-tobaben/?originalSubdomain=fi>`_ (2021, *while at*: University of Helsinki)
- `Mikko Aarnos <https://www2.helsinki.fi/en/researchgroups/machine-and-human-intelligence/people#section-110512>`_ (Summer 2021, *while at*: University of Helsinki)

Join the team
--------------

If you are interested in contributing to PyVBMC please see the :doc:`instructions for developers and contributors <development>` for general development guidelines. We welcome pull requests, bug reports, feature requests, etc. For other opportunities to work with us please see the homepage for the `Machine and Human Intelligence Lab <https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence>`_, or contact the lab's Principal Investigator at luigi.acerbi@helsinki.fi.