Demetrius Di Mucci
About Demetrius Di Mucci
Demetrius Di Mucci is a Scientist II at LifeMine Therapeutics, where he has worked since 2021. He holds a PhD in Bioinformatics from Boston University and has extensive experience in machine learning and microbial interaction modeling.
Work at LifeMine Therapeutics
Demetrius Di Mucci has been employed at LifeMine Therapeutics as a Scientist II since 2021. In this role, he contributes to the company's research initiatives, focusing on innovative approaches in bioinformatics and machine learning. His work supports the development of therapeutic solutions by leveraging his expertise in computational modeling and data analysis.
Education and Expertise
Demetrius Di Mucci holds a Doctor of Philosophy (PhD) in Bioinformatics from Boston University, where he studied from 2014 to 2019. He also earned a Master of Science (MS) in Bioinformatics from the same institution in 2014. His educational background includes advanced studies in Oncology and Cancer Biology at the Gerstner Sloan-Kettering Graduate School of Biomedical Sciences, where he obtained another PhD from 2011 to 2013. His expertise encompasses genome-scale metabolic modeling, machine learning, and microbial community dynamics.
Background in Research and Development
Before joining LifeMine Therapeutics, Demetrius Di Mucci worked as a Postdoctoral Research Fellow at The Forsyth Institute from 2019 to 2021. He also served as a Postdoctoral Researcher at Harvard School of Dental Medicine during the same period. His research focused on improving machine learning models and predicting microbial interactions through innovative algorithmic approaches. His early career included a role as a Researcher PhD Candidate at Boston University from 2014 to 2019.
Professional Experience in the Military
Demetrius Di Mucci served in the United States Marine Corps as a Nuclear Biological and Chemical Defense Specialist from 2003 to 2007. This experience provided him with a foundational understanding of biological and chemical defense mechanisms, which may have influenced his later research in bioinformatics and health-related studies.