Haojie Dai
New York City Metropolitan Area,United States
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Haojie Dai is a distinguished Research Scientist at Google DeepMind, focusing on advancing the frontiers of artificial intelligence and machine learning. His research interests are broad and impactful, spanning areas such as reinforcement learning, graph neural networks, generative models, combinatorial optimization, and AI for science. Before joining Google DeepMind, Haojie was a Postdoctoral Scholar at the University of California, Berkeley, affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab. He completed his Ph.D. in Computer Science from Georgia Institute of Technology, where his dissertation focused on learning for structured data and algorithms. Haojie is known for his innovative work on developing novel algorithms and applying them to complex problems, contributing significantly to both theoretical foundations and practical applications of AI.
Professional Summary
Haojie Dai's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Pioneering Research in Learning Combinatorial Optimization
Co-authored influential papers on learning algorithms for combinatorial optimization problems over graphs, such as 'Learning Combinatorial Optimization Algorithms over Graphs' (NeurIPS 2017), which introduced an innovative approach using graph embeddings and reinforcement learning.
Advancements in Graph Neural Networks and Structured Prediction
Made significant contributions to the development and understanding of Graph Neural Networks (GNNs) and their application to structured prediction tasks, including program synthesis and relational reasoning.
Innovations in Generative Models for Discrete Data
Developed novel techniques for discrete variational autoencoders (e.g., DVAE# presented at ICML), improving the ability of generative models to handle discrete data structures effectively.
Contributions to AI for Science and Drug Discovery
His work at Google DeepMind and previous research have explored applications of AI in scientific discovery, including potential uses in areas like molecular property prediction and material science.
Recipient of Multiple Academic Honors and Recognitions
Throughout his academic career, Haojie Dai has received various fellowships and recognitions for his research contributions, underscoring the impact and quality of his work in the AI community.
Educational Background
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Company Overview
CarlohaCarloha is an online marketplace for buying, selling, and trading pre-owned vehicles, aiming to provide a transparent, convenient, and hassle-free car transaction experience for consumers. They offer services including vehicle inspection, financing options, warranty, and direct-to-door delivery, differentiating themselves by focusing on quality assurance and customer service in the used car market.
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