Classification of celestial objects based on panchromatic photometry of space telescopes using machine learning methods (AKARI, WISE, Herschel, Gaia)
Analysis of astronomical light curves based on data of Gaia and TESS space telescopes and archival data (Herschel, ZTF, ASAS-SN, ATLASVAR)
Large scale distribution of pre- and protostellar objects
Small bodies of the Solar System
Past and current research collaborations
Herschel Point Source Catalogues, NASA/IRSA, California Institute of Technology, Pasadena, CA, USA; ESA, European Space Astronomy Centre, Villanueva de la Canada, Spain (2014-2017)
Planck-Herschel “Galactic Cold Cores Key Project” – IRAP, Toulouse, France; University of Helsinki, Helsinki, Finland; California Institute of Technology, Pasadena, USA (2010-)
Herschel OTKP: TNOs are Cool: A Survey of the Trans Neptunian Region, Max-Planck-Institut für extraterrestrische Physik (MPE), Garching, Germany (2011-)
Small Bodies Near And Far – Horizon 2020 Space Competitiveness Project – MPE, Garching, Germany; CSIC, Granada, Spain; UAM, Poznan, Poland (2016-2019)
Gaia CU5 – Photometric Science Alerts – Institute of Astronomy, University of Cambridge, Cambridge, UK (2017-)
Gaia CU7 – Variability Processing – University of Geneva, Geneva, Switzerland (2020-) – lead of YSO classification package
Novel Evolutionary Model for the Early stages of Stars with Intelligent Systems – Horizon 2020 Space Competitiveness Project – University of Wien, Vienna, Austria; University of Geneva, Geneva, Switzerland (2021-) – local lead
ESA Prodex Experiment Arrangement No. 4000129910 – Improving classification of Young Stellar Transients with Gaia Alerts (2020-2023) – project leader
Horizon 2020 Space Competitiveness Project – Novel Evolutionary Model for the Early stages of Stars with Intelligent Systems (2021-2025) – co-I, local lead
Horizon 2020 Opticon RadioNet Pilot – Automatic eyeballing of Gaia Alerts with machine learning algorithms (2021-2025)