Todd Macdonald is a highly skilled research scientist specializing in machine learning, currently working at Meta since February 2024, focusing on core NLP signals. As a KP Next Fellow at Kleiner Perkins since September 2023, Todd leverages expertise in artificial intelligence to enhance workplace support systems. Previously, Todd served as a senior software engineer at Moveworks, contributing to an innovative AI platform aimed at improving employee support. Academic achievements include a Master of Science in Computer Science from Stanford University and a Bachelor’s Degree in Computer Science from Stanford University as well. Todd's research contributions include published work in the 2020 Journal of Nuclear Medicine and significant experience in deep learning models for medical imaging. Additionally, Todd has held various roles in machine learning and software engineering across several prestigious organizations.
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