New York, New York, United States
Worked in a computational biology lab for 5 summers solving biological problems with machine learning. - Implemented reinforcement learning algorithms to guide protein structures in vitro - Greatly strengthened my independent learning skills - Learned how to develop software in collaboration with others - Developed a Mask R-CNN to calculate the size of and track protein structures in-vitro. The model achieved 96% accuracy on positional data and streamlined the data analysis pipeline - Developed various Python scripts for the lab, including scripts to parse, analyze, and clean big data sets - Strengthened programming skills, problem solving, and learned how to write practical code