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
Karl Moritz Hermann is a distinguished German artificial intelligence researcher and executive, currently serving as a Director of Research at Google DeepMind in London. He is renowned for his significant contributions to Natural Language Processing (NLP) and Machine Learning, particularly in areas like machine reading comprehension, question answering, and large language models. Before his tenure at DeepMind, Hermann co-founded Dark Blue Labs, an AI startup focused on deep learning for NLP, which was acquired by Google in 2014. At DeepMind, he has played a pivotal role in leading research teams, shaping strategic research directions, and advancing the frontiers of AI. His work often explores how machines can better understand and interact with human language, pushing the boundaries of AI capabilities.
Karl Moritz Hermann's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Dark Blue Labs in early 2014, a company specializing in deep learning for natural language understanding. It was acquired by Google DeepMind later the same year, marking a significant early success in the field.
Holds a key leadership position at Google DeepMind, one of the world's leading AI research labs. He spearheads research initiatives, guides teams in developing cutting-edge AI technologies, and contributes to the strategic direction of AI research, particularly in language and reasoning.
Co-authored the influential research paper 'Teaching Machines to Read and Comprehend' (2015), which introduced the CNN/Daily Mail dataset. This work and dataset became a benchmark that significantly advanced the field of machine reading comprehension.
Has been instrumental in research related to Large Language Models at DeepMind, contributing to their development, understanding their capabilities, limitations, and exploring their applications in various domains.
Authored and co-authored numerous highly cited papers in top-tier AI conferences and journals, significantly influencing the academic and industrial research landscape in NLP and Machine Learning.
University of Oxford - Year 2010
SOAS University of London - Year 2006
University of Oxford - Year 2003
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.
Reliant AI specializes in AI-powered automation solutions for healthcare revenue cycle management (RCM). Their platform aims to streamline administrative tasks, reduce claim denials, optimize prior authorizations, and enhance overall financial performance for healthcare providers by leveraging artificial intelligence to predict and prevent revenue leakage.
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.