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
Nicholas Lanigan is a distinguished Research Scientist at Google DeepMind, specializing in artificial intelligence, particularly in the areas of multi-agent systems, game theory, and reinforcement learning. He is recognized for his significant contributions to developing AI agents capable of complex strategic reasoning and human-level performance in sophisticated environments. His work often involves bridging theoretical advancements in AI with practical applications, pushing the boundaries of machine intelligence. Nicholas completed his DPhil (PhD) in Engineering Science at the University of Oxford, where his research laid foundational work for some of his later achievements.
Nicholas Lanigan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a pivotal role in the development of Cicero, an AI agent by Meta AI (where he worked prior to rejoining DeepMind/Google) that achieved human-level performance in the complex strategy game Diplomacy. This work was published in 'Science' and marked a significant milestone in AI for negotiation and strategic cooperation.
Authored and co-authored numerous influential papers in top-tier AI conferences (e.g., NeurIPS, ICML) and journals, contributing novel algorithms and theoretical insights into multi-agent reinforcement learning, game theory, and equilibrium finding.
Earned a Doctor of Philosophy in Engineering Science from the University of Oxford, focusing on probabilistic inference and machine learning, which provided a strong theoretical foundation for his subsequent research in AI.
Currently holds a position as a Research Scientist at Google DeepMind, one of the world's leading artificial intelligence research laboratories, contributing to cutting-edge projects aiming to solve intelligence.
University of Connecticut School of Law
Trinity College-Hartford
University of Connecticut School of Business
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.
Cox Enterprises is a leading communications, automotive, and media company. Headquartered in Atlanta, Georgia, this family-owned business is dedicated to building a better future for the next generation through its major divisions: Cox Communications (cable television distribution, telephone, high-speed Internet access, wireless services, and commercial telecommunications) and Cox Automotive (automotive services and solutions including brands like Autotrader, Kelley Blue Book, Manheim). The company is committed to empowering its employees and making a positive impact on communities.
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.