Luiza Sayfullina

Luiza Sayfullina has a diverse work experience in the field of artificial intelligence and natural language processing (NLP). Luiza is currently working at Silo AI since 2018, initially joining as an AI Scientist and later progressing to the role of Senior AI Scientist. In their current position as Lead AI Scientist, Luiza is involved in developing approaches for solving customer use cases using AI, with a focus on NLP applications involving textual data and speech. Prior to their work at Silo AI, they worked at Aalto University School of Science and Technology as a D.Sc., specializing in deep learning for NLP, from 2015 to 2018. Additionally, they have had brief roles as a Visiting Scholar at New York University in 2017 and as a Summer trainee at Aalto University in 2013. Luiza also had a short-term role as a MIPT (DeepPavlov lab) Visiting scholar at the MIPT Center for Engineering and Technology in 2018.

Luiza Sayfullina obtained their Bachelor's degree in Mathematical Methods in Economics, specializing in Mathematics and Computer Science, from Kazan State University, where they studied from 2007 to 2012. In 2010, they also spent a semester as an exchange student at the University of Helsinki, focusing on Computer Science.

After completing their undergraduate studies, Luiza pursued further education in the field of Computer Science. Luiza attended Aalto University from 2012 to 2014, where they obtained a degree in Computer Science with a specialization in Data Mining and Machine Learning.

In addition to their formal education, Luiza has also acquired several certifications. In 2023, they completed the "Foundations of Project Management" and "Project Initiation: Starting a Successful Project" courses through Coursera. In 2022, they earned certifications in "Combining Scrum with Other Agile Methodologies," "Scrum Master Certification: Scrum Methodologies," and "Introduction to Scrum Master Training" from the same platform.

Based on the provided information, it can be concluded that Luiza Sayfullina has a strong background in both Mathematics and Computer Science, with a focus on Data Mining, Machine Learning, and Project Management.