William Gerecke

William Gerecke has worked at a number of companies and organizations since 2019. In 2019, they worked as an Undergraduate Research Assistant at Harvard Program in Therapeutic Science (HiTS), where they generated contact maps for hundreds of thousands of proteins and used the HMS slrum cluster to run 500,000 CPU hours of jobs. William also used Tensorflow to create an input pipeline for the generated data. In 2020, they worked as a Teaching Assistant at the University of Toronto, where they helped students to better understand course material and guided them through challenging problems in lecture twice a week. William also held office hours to work one on one with students. Additionally, they worked as an Undergraduate Research Assistant at Harvard Program in Therapeutic Science (HiTS), where they used python to explore concepts from fields such as group theory and differential geometry with the hope of developing novel primitives for protein structure. William also explored mathematical representations of proteins using python and tested group equivariant neural network architectures on novel geometric primitives for proteins for model quality assessment and protein design tasks. In 2021, they worked as a Teaching Assistant at the University of Toronto. Finally, they are currently working as a Machine Learning Engineer at Soft Robotics Inc.

William Gerecke attended the University of Toronto from 2018 to 2022, where they obtained a Bachelor of Science in Computer Science and Statistics.