I am a PhD student in Biostatistics at the University of California, Berkeley and member of the EPPIcenter at UCSF. My research focuses on developing statistical methods and tools to better understand the complex transmission dynamics of malaria and is jointly advised by Rasmus Nielsen and Bryan Greenhouse at UCSF. I am passionate about using data and analysis using state of the art statistical techniques to improve public health outcomes. In addition to my background in statistics, I have significant experience in fullstack application development, ranging from writing bespoke MCMC methods in C++ to building web interfaces in React. I am a strong advocate for open science and reproducible research, and have contributed to several open source projects. I am also available for consulting on data science and statistical analysis projects, appointments can be made here or by contacting me at {consulting at maxmurphy.dev}.