Yaroslav Lyutvinskiy
About Yaroslav Lyutvinskiy
Yaroslav Lyutvinskiy is a Data Scientist known for developing Quanti, a software for quantitative analysis in proteomics. He has extensive experience in data science and mass spectrometry, holding a Ph.D. and working for various organizations including P.D. PLAYGENES INTERNATIONAL LIMITED and Turing.com.
Work at Turing
Yaroslav Lyutvinskiy has been employed as a Data Scientist at Turing.com since 2021. His role involves leveraging data science techniques to develop solutions that enhance operational efficiency and decision-making processes. Turing.com is known for connecting companies with remote software developers and data scientists, allowing for flexible work arrangements.
Current Position at P.D. PLAYGENES INTERNATIONAL LIMITED
Since 2023, Yaroslav has served as a Data Scientist at P.D. PLAYGENES INTERNATIONAL LIMITED. His work is conducted remotely from Cyprus. In this role, he has implemented a pilot project for Acadia Healthcare, focusing on outcome prediction for Opioid Use Disorder treatment, showcasing his expertise in data analysis and predictive modeling.
Education and Expertise
Yaroslav Lyutvinskiy earned a Doctor of Philosophy (Ph.D.) in Mass Spectrometry and Proteomics from the Institute for Analytical Instrumentation, studying from 2002 to 2007. He also holds a degree in Computer Software Engineering, achieved at Saint Petersburg University of Telecommunications from 1990 to 1996. His educational background equips him with a strong foundation in both analytical instrumentation and software engineering.
Research Experience at Karolinska Institutet
From 2009 to 2021, Yaroslav worked as a Research Engineer at Karolinska Institutet. During his tenure, he contributed to various research projects, including the development of CrystallTag, a peptide sequence tag-based approach for protein identification and post-translational modification discovery. His work in this role emphasized his capabilities in research and development within the field of proteomics.
Software Development Projects
Yaroslav has developed several software solutions, including Quanti, a software workflow designed for label-free quantitative analysis in proteomics. He also created mzAccess, a web-service API that provides rapid access to mass spectrometry data. Additionally, he developed a neural game bot for the Match Cafe game, which was utilized by PlayGenes for game analytics.