Thomas Deluca

Thomas DeLuca has a diverse background in data science and statistics, with a focus on healthcare and kidney-related challenges. Thomas has experience in utilizing advanced analytics techniques, such as generative AI, machine learning, and NLP, to drive insights and improve patient outcomes. Thomas has held roles as a Director of Data Science at Monogram Health and as a Data Scientist at Fresenius Medical Care, where they contributed to the development of tailored solutions for renal health. Thomas has also worked as a Data Scientist at Thermo Fisher Scientific and as a Statistician and Statistician/Data Scientist at PLACENTAL ANALYTICS LLC and Michigan State University, respectively. Throughout their career, Thomas has demonstrated skills in data collection, analysis, and research using various technologies such as Python, R, SAS, and Tableau.

Thomas DeLuca completed their Bachelor of Science degree in Statistics at Michigan State University from 2016 to 2019. Thomas then pursued a Master of Science degree in Applied Statistics at Southern Methodist University from 2019 to 2021. In 2019, they also obtained the SAS Certified Base Programmer for SAS 9 (CBP) certification from SAS.