Natalie joined the SDSC in April 2019 as a data scientist in the industry cell. She completed her Bachelor’s degree in Operations Research at Princeton University with a focus on statistics, probability and optimization, and became interested in using these tools for biological applications. She continued her Master’s studies in Computational Biology and Bioinformatics at the ETH in Zurich, focusing on machine learning and statistical modeling in biomedical settings. After her thesis, she did an internship with the machine learning and data analytics group at Disney Research in Zurich, working on solving problems in various domains using deep learning. Outside of work, she has been involved as a Women in Data Science Conference organizer and is also an avid runner, skier and diver.