Vincent Pisano
About Vincent Pisano
Vincent Pisano is a Data Scientist with extensive experience in clinical research and data analysis, having worked at various prestigious institutions including McLean Hospital and Massachusetts General Hospital. He holds a Master of Computer Science from Georgia Institute of Technology and has developed significant tools for healthcare data management.
Work at Abacus Insights
Vincent Pisano has been employed at Abacus Insights as a Data Scientist since 2023. In this role, he utilizes his expertise in data analysis and machine learning to support healthcare data solutions. His work contributes to the organization's mission of improving healthcare delivery through data-driven insights.
Previous Experience in Healthcare Data Science
Prior to joining Abacus Insights, Vincent Pisano held several positions in the healthcare sector. He worked as a Data Scientist at ConsumerMedical from 2020 to 2022, where he focused on data analysis for healthcare solutions. He also served as a Clinical Research Coordinator II at Massachusetts General Hospital from 2014 to 2016, managing research projects in the Department of Psychiatry.
Education and Expertise
Vincent Pisano holds a Master of Computer Science with a focus on Machine Learning from Georgia Institute of Technology, which he completed from 2019 to 2022. He also earned a Bachelor of Science in Biology from Northeastern University between 2008 and 2012. His educational background equips him with a strong foundation in both biological sciences and advanced data analysis techniques.
Clinical Research and Data Analysis Roles
Vincent Pisano's career includes significant roles in clinical research and data analysis. He worked as a Clinical Research Assistant at McLean Hospital from 2011 to 2012 and as a Clinical Data Analyst at Mersana Therapeutics from 2018 to 2020. Additionally, he served as a Student Volunteer and later as a Grant Administrator and Laboratory Manager at Brigham and Women's Hospital.
Technical Contributions and Projects
Vincent has developed a Medicare risk scoring Python library and has maintained continuous integration and continuous deployment (CI/CD) across client Databricks environments. He also launched a risk scoring library with an interactive Streamlit front end on Snowflake, showcasing his ability to integrate technical skills with practical applications in healthcare data.