Paul Kowalczyk
About Paul Kowalczyk
Paul Kowalczyk is a Principal Data Scientist at Adaptimmune in Philadelphia, Pennsylvania, with extensive experience in data science and cheminformatics. He has previously held positions at Syngenta, Scynexis, and Solvay, and he holds a BS and a PhD in Chemistry from Rensselaer Polytechnic Institute.
Current Role at Adaptimmune
Paul Kowalczyk serves as the Principal Data Scientist at Adaptimmune, a position he has held since 2020. Based in Philadelphia, Pennsylvania, he focuses on advanced data science techniques to generate actionable insights. His role involves utilizing a variety of toolchains and machine learning workflows to visualize, analyze, mine, and report data. Kowalczyk's work is centered on democratizing data science, making data products more accessible to his colleagues within the organization.
Previous Experience at Syngenta
Before joining Adaptimmune, Paul Kowalczyk worked at Syngenta in various capacities. He served as a Data Scientist from 2013 to 2016 and later as an Information Domain Specialist on the RDIS Information Team from 2013 to 2017. Additionally, he briefly held the position of Data Scientist / Bioinformatics for three months in 2017. His time at Syngenta contributed to his expertise in data science and bioinformatics.
Experience at Scynexis and Solvay
Paul Kowalczyk has significant experience in the pharmaceutical sector, having worked at Scynexis as a Senior Computational Chemist from 2007 to 2013. He later joined Solvay as a Senior Data Scientist, where he worked from 2017 to 2020. These roles allowed him to develop his skills in cheminformatics and data analysis, contributing to his overall expertise in the field.
Educational Background in Chemistry
Paul Kowalczyk earned his Bachelor of Science in Chemistry from Rensselaer Polytechnic Institute, where he studied from 1976 to 1980. He further pursued his education at the same institution, obtaining a PhD in Physical Chemistry from 1980 to 1986. His academic background laid the foundation for his extensive career in data science and cheminformatics.
Expertise in Data Science and Cheminformatics
Paul Kowalczyk possesses expertise in several key areas, including cheminformatics, ADME (Absorption, Distribution, Metabolism, and Excretion), QSAR (Quantitative Structure-Activity Relationship), molecular modeling, and medicinal chemistry. His strong focus on democratizing data science and generating actionable insights reflects his commitment to advancing the field through innovative data science techniques.