Headshot of Svetlana Bulatova

Svetlana Bulatova

Photographer

Svetlana Bulatova was born in 1991. She is a graduate specialist in historical studies. Svetlana proceeded to develop her interest in social studies and various communities through documentary photography. Studied at Faculty of Photojournalism and Academy documentary photography and photojournalism Fotografika (St.Petersburg). Svetlana has developed her practice in international programs: Danish School of Media and Journalism and NOOR-Nikon visual journalism workshop «Developing your Transmedia & Long-term Project» (Bayeux, France).
In 2018 Svetlana joined to “Women Photograph” organization.
Svetlana’s works were published in National Geographic (USA), The Calvert Journal, EEP Berlin, Scena9, Roads & Kingdoms, Here Magazine,  The Morning Calm, Russian Reporter, Takie Dela, Zapovednik, The Paper and among others. She works individually focused on long-term projects. Since 2016 Svetlana has been working in North Caucasus.
Currently lives and works in St.Petersburg.

From this contributor

Explore more from The Transmitter

Illustration of an open journal featuring lines of text and small illustrations of eyes and mouths.

Autism-linked genes alter sleep behavior, and more

Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.

By Jill Adams
14 April 2026 | 2 min read
Illustration of a monkey pushing a button.

This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli

A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.

By Erin Calipari
14 April 2026 | 5 min read
Illustration of a sheet of paper with a topography map-like pattern on it.

Why neural foundation models work, and what they might—and might not—teach us about the brain

These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?

By Juan Gallego
13 April 2026 | 8 min read