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I work at the intersection of organizational transformation, governance, and the societal implications of emerging technologies, with a particular focus on artificial intelligence, digitalization, and diversity.

In parallel to my leadership role at the Technical University of Munich (TUM), I serve as a speaker, advisor, and independent expert on the organizational, societal, and ethical implications of artificial intelligence (AI) and digital technologies such as social media. I work with senior leaders, organizations, and public institutions across sectors, supporting them in understanding how technological change reshapes decision-making, leadership, and organizational culture, and how to respond through responsible and future-oriented governance. I regularly deliver keynotes, contribute to panel discussions, and give interviews on the societal implications of AI, social media, and digital transformation. My work focuses on how power and privilege, disinformation and discrimination manifest in technology-driven environments and shape organizations, leadership, and decision-making.

At TUM, I lead the Staff Unit Diversity & Inclusion for the Executive Vice President for Talent Management and Diversity. In this role, I design and implement strategic initiatives aimed at strengthening governance structures, organizational development, and inclusive transformation within one of Europe’s leading universities.

I hold a PhD in Gender Studies in Engineering & Science from the Technical University of Munich and was a visiting scholar at the University of California, Berkeley. Prior to that, I studied at the University of Mannheim, the University of Amsterdam, and the National University of Singapore. I bring over 12 years of professional experience across academic and corporate environments, including roles at Allianz, Roche, L’Oréal, and the Technical University of Munich.

INTerviews &
publications

  • Publications:

    • Book chapter "Artificial Intelligence diversity bias" in "The Digital and AI Coaches' Handbook – The Complete Guide to the Use of Online, AI, and Technology in Coaching" | Routledge

    • Peer-reviewed article "Perceived gendered expectations: a challenge for Generation Z women" | Feminist Media Studies

    • Peer-reviewed article "Perceptions of the Self Versus One’s Own Social Group: (Mis)conceptions of Older Women’s Interest in and Competence With Technology" | Frontiers in Psychology

    • Research article "The Impact of the Relationship and Family Status in Retirement Age on Women’s Incorporation of Technical Devices in Their Everyday Life" | Springer Nature

    • PhD thesis "Women and Technology: How Far Have We Come in the Digital Age? Women's Perceptions of Gendered Technology Stereotypes"

REFERENCES & 
previous Speaking
  • Corporate: Allianz, Allianz Technology, AON, Atoss, Akademie Bayerischer Genossenschaften, GvW Graf von Westphalen, Infineon, IT4IPM, JobTeaser, LV 1871, Microsoft, Oracle, Samsung Semiconductors, SynkGroup, Transnet

  • Public sector: Atlantische Akademie, Bayerisches Forschungsinstitut für Digitale Transformation, BayFrance, Bundeswehr, Duale Hochschule Baden-Württemberg, European Southern Observatory, Hochschule Luzern, Max-Slevogt-Gymnasium Landau, Pädagogisches Institut München, Pädagogisches Landesinstitut Rheinland-Pfalz, Stadt Köln, Studienkolleg München, Technical University of Munich, Theobald-Simon-Schule Bitburg, Women's Leadership Symposium, ZDFheute, ZDFlogo

  • Non-profit: DEGEMED, Deutsche Vereinigung für politische Bildung, Dortmunder Forum Frauen & Wirtschaft, Human Capital Club, Feminist AI, Frau Netzwerkt, LeanIn Circle Konstanz, Munich Postdoc Network, Rotaract, Women in AI Germany, Zonta International, Zonta Munich

  • Conferences: Austrian Association for American Studies, Big & Growing New Work Festival, CIO des Jahres, CO3 Corporate Content Conference, EMBL Science & Society, Falling Walls, Feministisches Rathaus: 40 Jahre Gleichstellungsarbeit in München, Gender STEM, herCareer, Human-Computer-Interaction, Medical Imaging with Deep Learning Conference, M Stories, TUM Entrepreneurship Day, Women in Data Science

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