Tomasz Orczykowski
About Tomasz Orczykowski
Tomasz Orczykowski serves as the Director of Research at Inkitt, where he focuses on machine learning and creative storytelling. His previous experience includes roles in data science and analysis across various organizations in Poland and Germany, as well as academic contributions as a lecturer.
Current Role at Inkitt
Tomasz Orczykowski serves as the Director of Research at Inkitt, a position he has held since 2022. In this role, he focuses on advancing research initiatives within the company, particularly in the areas of machine learning and artificial intelligence. His work involves exploring innovative methodologies and applications of technology in the creative storytelling process.
Previous Experience at Inkitt
Before his current role, Tomasz was the Head of Data Science at Inkitt from 2016 to 2021. During this time, he led data-driven projects that contributed to the company's growth and understanding of user engagement. His experience in data science laid the foundation for his current research endeavors.
Professional Background in Data Analysis
Tomasz has extensive experience in data analysis, having worked at ABB E-mobility as a Senior Data Analyst and later as a Lead Data Analyst in 2022. His role involved analyzing data to support the development of electric mobility solutions. Prior to this, he worked at IMGW as a Mathematical Modeler/Data Analyst/Data Engineer, where he developed flood hazard and risk assessment models implemented nationwide in Poland.
Academic Qualifications
Tomasz obtained his Master's degree from Wrocław University of Environmental and Life Sciences, where he studied from 2001 to 2006. His academic background provided him with a solid foundation in environmental sciences and data analysis, which he has applied throughout his career.
Research Interests and Initiatives
Tomasz is actively engaged in Ph.D. research that focuses on leveraging breakthroughs in machine learning. He is particularly interested in the application of agent-based general AI and large language models (LLMs) in the creative storytelling process. Additionally, he aims to establish a round table with professionals researching LLMs to discuss opportunities and challenges in this evolving field.