Dr. Sarah Chen is the Chief AI Officer at NeuraX, where she leads our research and development initiatives in machine learning and artificial intelligence. With over 15 years of experience in the field, she has been instrumental in developing groundbreaking AI solutions that have transformed industries.
Before joining NeuraX, Sarah served as a Senior Research Scientist at Google AI, where she led teams working on natural language processing and computer vision. Her work has been published in top-tier conferences including NeurIPS, ICML, and CVPR, accumulating over 12,000 citations.
Sarah holds a PhD in Computer Science from MIT, where she focused on deep learning architectures for multimodal understanding. She is also an adjunct professor at Stanford University, teaching graduate courses in machine learning and mentoring the next generation of AI researchers.
Leading AI research and development initiatives, managing a team of 50+ researchers and engineers. Spearheading breakthrough projects in multimodal AI and large language models.
Led research on NLP and computer vision, published 20+ papers in top venues. Key contributor to Google's BERT and Vision Transformer projects.
Research on deep learning architectures for multimodal understanding. Thesis: "Neural Approaches to Visual and Linguistic Reasoning" - awarded Best Dissertation.
World AI Summit
ICML Conference
Forbes Technology
MIT CSAIL
Massachusetts Institute of Technology
2010 - 2014
Focus: Deep Learning & Multimodal AI. Thesis: "Neural Approaches to Visual and Linguistic Reasoning"
Stanford University
2008 - 2010
Specialization in Artificial Intelligence and Machine Learning
UC Berkeley
2004 - 2008
Graduated Summa Cum Laude, Phi Beta Kappa
Google Cloud
2023
Amazon Web Services
2022
DeepLearning.AI
2021
NeurIPS 2024
Google AI Summit
World Economic Forum
ICML 2023
Stanford University
Lex Fridman Podcast