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
Paco Hauser is a distinguished Staff Research Engineer with a strong focus on artificial intelligence, machine learning, and robotics. He is known for his significant contributions to developing advanced AI systems and his work on large-scale reinforcement learning agents. Paco possesses deep expertise in creating intelligent systems that can learn and adapt in complex environments. His research often bridges the gap between theoretical advancements and practical applications, aiming to push the boundaries of what AI can achieve. He is a collaborative team player, passionate about solving challenging technical problems and mentoring emerging talent in the field.
Paco Hauser's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Played a significant role in the AlphaDev project at Google DeepMind, which discovered faster sorting algorithms using reinforcement learning, leading to performance improvements in widely used programming libraries.
Contributed to the development of Gato, a generalist AI agent capable of performing a wide variety of tasks, showcasing progress towards more versatile AI systems.
Authored and co-authored influential research papers published in top-tier AI conferences and journals like NeurIPS and ICML, contributing valuable insights to the machine learning community.
Engineered and optimized large-scale reinforcement learning systems, enabling the training of complex AI models for sophisticated tasks in robotics and game playing.
Swiss Board School - Year 2021
IMD (International Institute for Management Development) - Business Programs - Year 2006
Eidgenössische Technische Hochschule Zürich - Year 1984
Kantonsschule Rämibühl, Zürich - Year 1976
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.
Aurigin (formerly BankerBay) is a global deal origination platform that connects qualified investment opportunities with providers of capital around the world. It leverages AI and machine learning to help corporates, investment banks, and private equity firms find relevant deals, M&A targets, and investors, thereby streamlining the traditionally complex and opaque dealmaking process. The platform aims to provide a comprehensive and efficient solution for discovering and executing mid-market transactions globally.
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.