Re­searcher of Stern­berg As­tro­nom­i­cal In­sti­tute (Moscow). 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: https://pruzhinskaya.com

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.

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.

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: https://emilleishida.com

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 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.

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.

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.

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.

In­tern of the Lab­o­ra­toire de Physique de Cler­mont (Cler­mont-Fer­rand, France), grad­u­ated from Stern­berg As­tro­nom­i­cal In­sti­tute (Moscow, Rus­sia). Anas­tasiya is cur­rently look­ing for red dwarf flares hid­den in ZTF data. Some­times cre­ates de­signs for as­tro­nom­i­cal T-shirts and lo­gos.

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 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.