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Heidi Ye is a distinguished Staff Research Scientist at Databricks, specializing in artificial intelligence, particularly in the realms of large language models (LLMs) and reinforcement learning. Prior to her role at Databricks, she was a Research Scientist at Google Brain, where she made significant contributions to AI research. Heidi earned her Ph.D. in Computer Science from Stanford University, focusing on machine learning. Her work is characterized by a deep understanding of theoretical concepts and a strong drive to apply them to solve complex, real-world problems, pushing the boundaries of what AI can achieve.
Heidi Ye's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and contributes to advanced research on large language models and generative AI, aiming to integrate cutting-edge AI capabilities into Databricks products and services.
Conducted impactful research in machine learning and artificial intelligence, contributing to Google's AI advancements and publishing in top-tier venues.
Completed doctoral studies with a focus on machine learning, advised by renowned faculty, and produced research that advanced the understanding of AI algorithms.
Authored and co-authored numerous influential research papers presented at premier AI conferences like NeurIPS, ICML, and ICLR, demonstrating significant contributions to the field.
The University of British Columbia
Queen's University
ESCP Europe
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Rocketbrew is an AI-powered sales intelligence and automation platform designed to help B2B sales teams identify ideal customer profiles, find verified contact information, and automate personalized outreach. It aims to streamline the prospecting process, improve lead quality, and increase sales efficiency by leveraging AI for tasks like lead discovery, data enrichment, and email sequence generation.
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