- Research Program Mentor
MS candidate at University of California Berkeley (UC Berkeley)
Statistics, data science, physics, R coding, mathematics
BioHello! My name is Ian, and I'm currently pursuing a Master's Degree in Statistics at UC Berkeley. Part of why I enjoy statistics is its incredible applicability to a wide variety of other fields, and I have experience in applying statistical models to areas ranging from finance to gaming to epidemiology. I'm also experienced in teaching and mentoring, having worked with students as a TA both during my undergrad as a physics major and in my current position as a Graduate Student Instructor in Berkeley's stats department. A few fun facts about me: I'm a musician who sings, plays three instruments, and arranges music for my a cappella group, Noteworthy. I am an avid fan of tabletop gaming, particularly D&D, and enjoy creating detailed fantasy worlds, stories, and characters. Other hobbies and interests of mine include hiking, cooking, and playing around with neural networks. I'm excited to see what fascinating projects come my way, and I'm also excited to do what I can to help them come to fruition!
Who Gets the Shot?: Vaccine Prioritization Modeling for COVID-19
The aim of this project is to model the efficacy of differing vaccine prioritization schemes (in order of age, essential workers first, etc.) in preventing mortality over the tail end of the pandemic. We use Bayesian MCMC algorithms to estimate parameters such as infectivity and fatality from CDC data, then use an open SEIR model in R to simulate mortality and recovery rates based on a given system for allocating vaccines and a given rate of vaccine production over time.