Open to full-time opportunities.

I recently completed my PhD in Computer Science at Boston University, where I conducted research in the Image and Video Computing group, advised by Professor Kate Saenko.

My research interests lie in the Generative AI, Multimodal Learning, and Computer Vision. During my PhD, I have been working on developing novel methods for making AI models more interpretable, with a focus on Computer Vision and multimodal systems. I have been working on concept manipulation in generative AI, such as Text-to-Image diffusion models, and developing methods for feature importance attribution and evaluation.

During my research internships at Adobe, I have worked on developing novel methods for making CV and multimodal models more interpretable with applications in Document Understanding.

Prior to joining Boston University I have recieved my M.S./B.S. degree in Computer Science and Applied Mathematics from Belarusian State University. During my studies there I have done research on Graph Theory and Semantic Segmentation.

Publications

Other projects