SNAD-VI work­shop will take place in Türkiye. It will be organized in hybrid format, having in-person and online participants. The main topic of the work­shop is the anom­aly de­tec­tion prob­lem in as­tro­physics. The results of the SNAD-V workshop can be found here.



Maria Pruzhinskaya


Researcher of Laboratoire de Physique de Clermont (France). The main scientific interests are supernovae of all types. However, Type Ia supernovae seems to be the favorite one. As a post-doc, Maria spent two years in Clermont-Ferrand, that's why she can easily distinguish 6 semaines Saint-Nectaire from 8 semaines. Homepage:

Matwey Kornilov


If you are using Linux, then you already came across Matwey's code. You can learn more about Matwey by looking at his GitHub account.

Konstantin Malanchev


Python lover. Konstantin works as a researcher at Sternberg Astronomical Institute and as an associate professor at Higher School of Economics (Moscow). He defended his PhD on Non-stationary processes in astrophysical accretion discs under the supervision of Prof. N.I. Shakura. Now he is dreaming to study different machine learning methods in astrophysics. Konstantin's GitHub.

Emille Ishida


Brazilian physicist, working in Astronomy and discovering Statistics. Emille's research is focused in Type Ia Supernovae (photometric classification, characterization and cosmological application), machine learning, Bayesian modeling and the connections between them. She is a leader of the Cosmostatistics Initiative (COIN). Homepage:

Patrick Aleo

PhD student

PhD student at the University of Illinois at Urbana-Champaign. Patrick has worked on machine learning-informed cinematic astrophysical data visualization with NCSA’s Advanced Visualization Lab, and is now working on building an anomaly detection filter for real-time alert brokers such as ANTARES for deployment on LSST. He is interested in an interdisciplinary approach to apply machine/deep learning, visualization, and anomaly detection techniques to astronomical big data. In his free time, Patrick enjoys being a background actor in Hollywood films, and writes his own screenplays.

Alina Volnova


Alina works at Space Research Institute of the Russian Academy of Sciences (Moscow). Her main scientific interests are gamma-ray bursts and their optical counterparts. She contributes to the observations of a binary neutron star merger detected through gravitational waves by the Advanced LIGO and Advanced Virgo detectors. Alina is an incredible musician and vocalist.

Vladimir Korolev

aeronautical scientist

Lecturer at the Department of Aeromechanics and Flight Engineering of Moscow Institute of Physics and Technology (MIPT). The main scientific interests are aircraft dynamics, control systems, identification of aerodynamic characteristics.

Sreevarsha Sreejith


Astrophysicist from India, with the twin pet peeves of machine learning and galaxies. Sreevarsha works as a research associate at Brookhaven National Laboratory. She is currently working on deblending galaxy images using deep learning.

Etienne Russeil


Ph.D. student of the Laboratoire de Physique de Clermont (Clermont-Ferrand, France). Etienne works with the LSST working group where he mainly develops unsupervised machine learning algorithms aiming at identifying anomalous objects in large astronomical datasets.

Anastasia Lavrukhina


Student of the Faculty of Space Research at MSU. The main scientific interests are the application of machine learning methods to astrophysical data and object detection in large data sets.

Emmanuel Gangler


Emmanuel Gangler is a CNRS researcher at LPC-Clermont Ferrand, France. He is an expert in supernova standardization and cosmology. Emmanuel is interested in feature importance for anomaly detection and deep learning.

Timofey Semenikhin


Timofey is a student at the Faculty of Space Research at Lomonosov Moscow State University. He has been involved in constructing superluminous supernovae bolometric light curves using machine learning methods. Currently, his work focuses on real-bogus classification of ZTF objects employing neural networks.


Every day we start at 10:00. Lunch will be served from 12:00 to 13:30. Since the meeting will be held in mixed format, we also have a common zoom from 17:00 to 18:00 Antalya time (UTC+3).

2/07, Sun Arrival
3/07, Mon 10:00-18:00 Work
4/07, Tue 10:00-18:00 Work
5/07, Wed 09:00-15:00 Excursion
16:00-18:00 Work
6/07, Thu 10:00-18:00 Work
7/07, Fri 10:00-18:00 Work and conference photo
8/07, Sat 10:00-18:00 Work
9/07, Sun Departure