Devin Petersohn is a 5th year Computer Science PhD student at the UC Berkeley RISELab and Machine Learning Engineer at Intel. The early focus of his PhD work was in scaling genomic workloads to enable large scale DNA analysis. In recent years, Devin has focused on making scalable data science more accessible to domain experts. As a part of this work, Devin created Modin (https://github.com/modin-project/modin) , which he has been working on for 2 years.