Christian Fagan
About Christian Fagan
Christian Fagan is a Data Science Fellow who specializes in applying advanced statistical methods and machine learning in various contexts, including pharmaceutical research and sports analytics. He has a strong academic background with degrees in Mathematics, Economics, and Econometrics, and has taught numerous students at California State University, Los Angeles.
Work at SharpestMinds
Christian Fagan has been serving as a Data Science Fellow at SharpestMinds since 2019. In this role, he applies his expertise in data science to various projects, contributing to the development of innovative solutions. His work involves collaborating with other professionals in the field to enhance data-driven decision-making processes.
Education and Expertise
Christian Fagan holds a Bachelor's degree in Mathematics and Economics from the University of Pittsburgh, where he studied from 2007 to 2012. He furthered his education at Caltech, earning a Master of Science in Econometrics and Game Theory from 2012 to 2014. His academic background provides a strong foundation for his work in data science and statistical modeling.
Teaching Experience
Christian has extensive teaching experience, having instructed over 100 students per class at California State University, Los Angeles. He achieved an average teaching review score of 4.9 out of 5. Additionally, he worked as an Instructor at the Johns Hopkins Center For Talented Youth from 2016 to 2018, where he taught in both Bristol, RI, and Los Angeles, CA.
Projects and Collaborations
Christian collaborated with the CTO of ProteinQure to apply quantum machine learning models for pharmaceutical research. He also developed simulations and performance metrics for the WWE Royal Rumble using Bayesian analysis and hidden Markov models. His work in this area included utilizing ensemble methods to create a statistical model for the event, achieving a model score of 0.8.
Curriculum Development
At California State University, Los Angeles, Christian curated the curriculum for ECON 3060, which focuses on Statistics for Business Analysis and Decision-Making. This role involved designing course materials and ensuring that the curriculum met educational standards and industry relevance.