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
Fabian J. Fischer is an Assistant Professor in Explainable AI (XAI) at the University of Amsterdam (UvA), within the Informatics Institute. His research is centered on making artificial intelligence systems, particularly complex deep learning models, more transparent, understandable, and trustworthy. He focuses on developing novel methods for explaining the predictions and behavior of these models, exploring their theoretical foundations, and evaluating their practical utility and impact on users. Key areas of his work include post-hoc explanation methods, intrinsically interpretable models, the evaluation of explanations, and the intersection of XAI with human-computer interaction and fairness in AI. He aims to contribute to AI systems that are not only powerful but also accountable and aligned with human values.
Fabian J. Fischer's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Awarded a prestigious Veni grant from the Dutch Research Council (NWO) for his research project on 'Understanding UnFAIRness: From Explanations to Interventions for Algorithmic Fairness'. This grant supports outstanding early-career researchers in developing their own innovative line of research.
Authored and co-authored numerous research papers published in leading international conferences and journals in artificial intelligence and machine learning, such as NeurIPS, ICML, AISTATS, and Transactions on Machine Learning Research (TMLR), contributing significantly to the field of XAI.
Contributed to the development and critical analysis of various methods for explaining AI models, including work on Shapley values, counterfactual explanations, and methods for evaluating the quality and faithfulness of explanations.
Actively involved in the AI research community, serving as a reviewer for major conferences and journals, and co-organizing workshops and tutorials related to Explainable AI and trustworthy machine learning.
London Business School - Year 2023
ESMT Berlin
Universität Hamburg - Year 2001
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.
Etribes is a digital consultancy and company builder focused on e-commerce and digital transformation. They support businesses in developing digital strategies, building new digital ventures, and optimizing existing online operations. Their services span from strategy consulting to interim management and venture building, aiming to empower companies in the digital age.
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.