I am a cognitive scientist working at the intersection of visual perception, memory, and decision making. I am currently a Research Scientist at the University of Chicago, working with Edward Vogel and Edward Awh at the Awh/Vogel Lab. Before moving to Chicago in 2022, I was faculty at the Department of Psychology of the Higher School of Economics (HSE) in Russia. In my research, I combine behavioral experiments, computational modeling, machine learning, and electrophysiological methods (EEG).

My current research focuses on visually and memory guided decisions in humans. One part of my research concerns episodic recognition memory that require both checking with our vast memory and navigating through multiple present options at the same time (e.g., Which of the faces in this party picture have I seen before? Which of these pasta brands on this shelf have I tried a month ago?).

Another part of my research is dedicated to our ability to make surprisingly accurate statistical estimates of large sets of objects without the need to consider each object individually one by one (e.g., Which lane of a road has a greater average speed? Which of these baskets have riper tomatoes?). This remarkable ability often called ensemble perception, is a powerful source of everyday statistical intuition that can be both strikingly accurate but also biased. My past and emerging work aims to understand the mechanisms behind ensemble perception and how it can be applied to statistical judgments beyond the visual domain (for example, in statistical education).

Apart from these topics, my research interests include visual working memory and visual search