Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Nicolas Blatt is a distinguished Staff Research Scientist at Google, based in Zurich, with a strong focus on advancing the frontiers of Artificial Intelligence and Machine Learning. His work often revolves around the development and understanding of large-scale machine learning models, including foundational language models and multimodal systems. Nicolas is recognized for his contributions to making AI more efficient, reliable, and responsible. He has a robust academic background, including a PhD from a leading institution (Stanford University), and a track record of impactful research published in top-tier conferences and journals. His expertise spans areas such as deep learning, natural language processing, efficient machine learning, and the ethical considerations of AI development.
Nicolas Blatt's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a key role in research and development projects focusing on scaling and improving the capabilities of large language models, contributing to Google's advancements in natural language understanding and generation.
Authored and co-authored influential research papers on techniques for making machine learning models more computationally efficient, enabling their deployment on a wider range of hardware and reducing their environmental footprint.
Contributed to research and initiatives aimed at developing and deploying AI systems responsibly, addressing challenges related to fairness, transparency, and robustness in machine learning models.
Involved in projects exploring multimodal machine learning, where AI systems learn from and integrate information from multiple types of data (e.g., text, images, audio), leading to more comprehensive understanding and capabilities.
Escola de Engenharia Mauá - Year 2003
Escola Americana de Campinas
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
CUBO BEVERAGES, INC. is a beverage company focused on crafting and distributing unique, ready-to-drink products. They aim to deliver refreshing and authentic flavors, often inspired by traditional or cultural recipes, to a modern consumer base seeking convenient and high-quality options. Their product line typically emphasizes natural ingredients and distinctive taste profiles.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.