Kim Schmidt
San Francisco, California,United States
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Kim Schmidt is an accomplished Data Scientist and AI Ethicist with over 8 years of experience in developing and deploying machine learning models, with a strong focus on responsible AI practices. Based in Berlin, Kim is passionate about bridging the gap between cutting-edge AI capabilities and human-centric ethical considerations. Kim has a proven track record of leading projects that not only drive business value but also uphold principles of fairness, transparency, and accountability in AI systems. Kim is an advocate for interdisciplinary collaboration and actively contributes to discussions on AI policy and governance.
Professional Summary
Kim Schmidt's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Development of a Novel Fairness-Aware ML Algorithm
Led a research team to develop and patent a new machine learning algorithm that demonstrably reduces bias in predictive modeling for financial services, leading to more equitable outcomes.
Keynote Speaker at a Major AI Ethics Conference
Invited as a keynote speaker at the 'Global Summit on AI Ethics 2023', presenting on 'Operationalizing AI Ethics: From Principles to Practice' to an audience of industry leaders and policymakers.
Published 'The Ethical AI Handbook'
Authored a widely-read handbook aimed at practitioners, providing practical guidance and frameworks for integrating ethical considerations throughout the AI development lifecycle. The book has been adopted by several universities.
Recipient of the 'Tech for Good' Innovator Award 2022
Awarded for outstanding contributions to leveraging technology for social good, specifically recognizing work in promoting ethical AI and mitigating algorithmic harm.
Educational Background
Master of Business Administration (MBA)
University of Pennsylvania - The Wharton School
Directors College
Stanford Law School - Year 2019
BA, Psychology
Austin College
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Company Overview
KimeloKimelo is developing an AI-powered R&D Operating System. Their platform aims to help research and development teams structure, manage, and leverage their scientific knowledge more effectively. By centralizing data and providing intelligent tools, Kimelo seeks to enhance collaboration, streamline R&D workflows, accelerate innovation, and unlock the full potential of scientific data for businesses.
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