Isabel Metzger
About Isabel Metzger
Isabel Metzger is an AI Scientist at Roivant Sciences, where she has worked since 2019. She holds a Master of Science in Informatics from New York University and has extensive experience in machine learning and data science across various institutions.
Work at Roivant Sciences
Isabel Metzger has been employed as an AI Scientist at Roivant Sciences since 2019. In this role, she focuses on the application of artificial intelligence in the pharmaceutical industry. Her work contributes to the development of innovative solutions aimed at improving patient outcomes and enhancing drug discovery processes. Roivant Sciences is known for leveraging technology and data to accelerate the development of medicines.
Education and Expertise
Isabel Metzger holds a Master of Science in Informatics from New York University, where she studied from 2017 to 2018. She also earned a Doctor of Pharmacy from the University of Maryland School of Pharmacy, completing her studies from 2016 to 2020. Her academic background includes a Bachelor of Science in Biochemistry, Physics, Studio Art, and Mathematics from Eastern Connecticut State University, achieved from 2010 to 2013. Her thesis work involved utilizing Natural Language Processing and Deep Learning techniques to analyze clinical text for mortality prediction.
Professional Background
Prior to her current position, Isabel Metzger gained diverse experience in various roles. She worked as a Graduate Student Researcher at New York University for seven months in 2017, and as a Machine Learning Engineer at Express Scripts for four months in 2018. Additionally, she served as a Contracted Data Scientist and Machine Learning Engineer at NYU Langone Health for two months in 2018. Earlier in her career, she held positions as a Laboratory Technician at Astrix Technology Group and as a Research Interpreter Summer Intern at the Museum of Science.
Research Contributions
Isabel Metzger has contributed to several research projects throughout her career. She worked under Yindalon Aphinyanaphongs, MD, PhD, in the Predictive Analytics Unit during her practicum. Additionally, she collaborated with Lorel Burns, DDS, on multiple deep learning projects in the field of dentistry. Isabel also participated in the Patient Quality Health Innovation Challenge, where she collaborated with students from the University of Maryland School of Pharmacy to develop a chatbot aimed at enhancing patient care.