Thomas Lu completed his undergraduate degree in Computer Science, Linguistics, and Data Science at University of California, Berkeley with a research focus on Natural Language Processing. He then completed his Masters in Machine Learning at Carnegie Mellon, where his research included applications to chemistry and material science, as well as conditional generation, domain adaptation, and multimodality. Thomas is now a machine learning research engineer in the Theodoris Lab, developing novel deep learning models for network biology. In his spare time, he enjoys napping, learning languages, writing bad poetry, and boxing.