Biography
I was born and raised in the vibrant and historic city of Smolensk, Russia. Having lived and worked in various countries with diverse standards, I have cultivated a broad international perspective. The environment of my upbringing, paired with the unique experiences I have gained, has molded me into the creative and ambitious individual that I am today.
My career is a rich tapestry of diverse experiences across multiple domains, setting me apart as a polymath in a digital age. From delving into artificial intelligence, computational linguistics, and information retrieval, to engaging in profound research endeavors at reputable institutions, I display a relentless pursuit of knowledge. The realms of artificial intelligence, computational linguistics, and information retrieval are where my passion lies. Through my publications and hands-on projects, I have ventured into exploring new horizons, each endeavor adding a unique facet to my professional persona. Besides, my experience spans a wide range of topics, embodying a well-rounded and expansive skill set that seamlessly marries theory with practice, making her career not only diverse but also exceptionally robust and impactful.
In addition to my professional pursuits, I have a range of hobbies that enrich my life. I am a foodie at heart who loves to cook and bake. I enjoy travelling, cross-stitching and reading and though I am not a hiking pro, I do enjoy hitting the trails every now and then. I like puzzles and I am also quite active on CouchSurfing. Last but certainly not least, I have a unique passion for collecting ducks.
- Artificial Intelligence
- Computational Linguistics
- Information Retrieval
- Data Mining
- Learning Analytics
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PhD in Computational Social Science, 2024
University of Murcia
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MSc Data Science, 2020
University of Murcia & University of Santiago de Compostela
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BSc in Computer Science, 2018
Moscow Power Engineering Institute
Publications
Experience
- At Future Learning Initiative, I was analyzing the students’ problem-solving strategies in the introduction to data science course based on the screen recordings in order to understand the interplay of cognition and affect in open-ended and complex problem-solving.
- Ongoing effort towards publishing results.
- Together with my team, I worked on reconstructing the OpenEdu.ch educational platform for Switzerland.
- Created an ontological definition that describes the content found at OpenEdu.ch that will improve Wikidata learning material organization and reachability.
- Used machine learning techniques to identify relationships between planetary mapped datasets in order to provide a deeper understanding of planetary surfaces and to have predictive power for planetary surfaces with incomplete datasets.
- Built interactive tool for analyzing the Moon. Ongoing effort towards publishing results.
- Developed a model for detecting various marine life objects based on state the art in Convolutional Neural Networks.
- Achieved accuracy of up to 85% in recognition of the most important groups of objects.
- Redesigned data scraping tool for gathering data of study programmes across Europe and integrated the extracted data in the internal search engine. The number of programs covered by the system expanded from 4.000 to 20.000.
- Data analysis of user interest across programs based on multiple patterns, resulting in valuable insights for program discovery and advertised partners.
- Developed novel time-series approach for link prediction in temporal graphs relying on Support Vector Machines.
- Achieved accuracy of up to 80% in link prediction relevant datasets such as IMDB.