About
I am a Ph.D. student at the University of Amsterdam where I work on multimodal machine learning in the context of information retrieval. I am supervised by Maarten de Rijke, and mentored by Andrew Yates.
I hold a master’s degree in Artificial Intelligence from KU Leuven, Belgium, and a bachelor’s degree in Computational Linguistics from Novosibirsk State University (Novosibirsk, Russia). I am a current intern at Google where I am part of the Gemini team. Besides, during my Ph.D., I interned at Bloomberg AI with Shuo Zhang and Edgar Meij and at Amazon Alexa with Svitlana Vakulenko and Gabriella Kazai. During my master’s, I interned at LIIR at KU Leuven under the supervision of Artuur Leeuwenberg and Marie-Francine Moens. Apart from that, in the summer of 2018, I interned at ETH Zurich with Gunnar Rätsch. I was born in Ukraine and grew up in the Far North of Siberia, Russia. I am committed to creating a workspace that is both diverse and inclusive. As such, I am a mentor within the Inclusive AI initiative.
More details are in my CV.
Feel free to reach out for research discussions, collaborations or just to have a chat.
NEWS
2 April, 2024: I am starting a research internship at Google in Zurich. I am part of the Gemini team. If you are in Zurich and would like to chat/meet, let me know!
25 February, 2024: I am attending ELLIS Winter School on Foundation Models.
9 December, 2023: Our paper Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control got accepted at ECIR 2024. See you in Glasgow!
3 July, 2023: I have started my research internship at Bloomberg AI in London. I am collaborating with Shuo Zhang, Ridho Reinanda, Mohamed Yahya, and Edgar Meij.
13 December, 2022: Our paper Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study got accepted at ECIR 2023. See you in Dublin!
15 November, 2022: I have started an internship in Alexa at Amazon Science in London. I am collaborating with Svitlana Vakulenko, Gabriella Kazai, and Emine Yilmaz.
15 July, 2022: Our team participated in Fashion Outfits Challenge, part of SIGIR 2022 Workshop on eCommerce. We published the paper ‘Unimodal vs. Multimodal Siamese Networks for Outfit Completion’ detailing our solution.
3 June, 2022: I gave a talk about the paper ‘Extending CLIP for Category-to-image Retrieval in E-commerce’ at Amazon Luxembourg.
10 December, 2021: Happy to share that work ‘Multimodal Retrieval in E-commerce: from Categories to Images, Text, and Back’ was accepted for presentation at the ECIR 2022 Doctoral Consortium.
19 November, 2021: Our paper ‘Extending CLIP for Category-to-image Retrieval in E-commerce’ was accepted to the main paper track at ECIR 2022.
10 June, 2020: Our paper ‘Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers’ was accepted to SIGIR 2020 Workshop on eCommerce.
28 April, 2020: I will be attending MLSS 2020.