Mark Szepieniec
About Mark Szepieniec
Mark Szepieniec is the ML Platform Lead at Exscientia, where he has worked since 2023. He has a background in data science with previous roles at Amazon Web Services, NStack, and ONZO, and holds degrees in Nanoscience and Electrical Engineering from KU Leuven.
Current Role at Exscientia
Mark Szepieniec serves as the ML Platform Lead at Exscientia, a position he has held since 2023. In this role, he focuses on developing and enhancing machine learning platforms to support the company's objectives in drug discovery and development. His expertise in data science and software engineering contributes to the advancement of Exscientia's innovative approaches in the pharmaceutical industry.
Previous Experience at Amazon Web Services
Prior to his current role, Mark worked at Amazon Web Services as a Data Scientist from 2019 to 2022. During his three years in London, he applied his analytical skills to develop data-driven solutions, contributing to various projects aimed at improving cloud services and customer experiences.
Career Background in Data Science
Mark has a solid background in data science, having worked at several organizations before joining Exscientia. He was a Data Scientist at NStack from 2017 to 2018 and at ONZO from 2016 to 2017, both positions based in London. His experience in these roles involved leveraging data analytics to drive insights and support business decisions.
Educational Qualifications
Mark holds a Master of Engineering (MEng) in Nanoscience and Nanotechnology from KU Leuven, which he completed from 2007 to 2009. He also earned a Bachelor of Engineering (BE) in Electrical Engineering with a minor in Materials Engineering from the same institution, studying from 2003 to 2007. His academic background provides a strong foundation for his work in technology and data science.
Research and Development Experience
Mark's early career included a significant research role as a PhD Candidate at Tyndall National Institute from 2009 to 2014. This five-year experience involved conducting advanced research in the field of nanotechnology, contributing to his expertise in scientific and technical areas relevant to his later roles in data science and engineering.