Draft:Jan Rock
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Comment: This draft seems AI generated to me. Should you be using AI, please write in your own words instead. thetechie@enwiki:~$ she/they | talk 20:30, 22 January 2026 (UTC)
Jan Rock is a computer scientist, software engineer, and industry practitioner specializing in artificial intelligence (AI) and blockchain technologies, particularly in financial applications and trading. He is recognized for his practical contributions to applied AI and blockchain, as well as his engagement with academia through guest lecturing and industry partnerships at several universities.
Education
Jan Rock holds a PhD from LIGS University (Hawaii USA), where his doctoral studies were completed with research focused on Blockchain Design Patterns and Integration (specific thesis topic and completion year not publicly detailed).
Career
Jan Rock works as a researcher and engineer in AI and blockchain advanced research at Citi in London. His professional focus includes developing multi-agent AI protocols, data tracing platforms, APIs for data and metadata tokenisation, and related innovations in financial technology.
Academic involvement
Jan Rock has served in multiple guest lecturing and industry partnership roles, bringing industry expertise to academic settings:
- Guest Lecturer, New York University (since September 2025; topics include AI, Agentic Protocols, and Vibe Coding).
- Guest Lecturer, University of Notre Dame (since April 2025; focus on Business Analytics).
- Industry Partner, UCL School of Management (since May 2025).
- Industry Partner and Guest Lecturer, Bayes Business School (since May 2022; associated with the Business Analytics Faculty).
He has also previously delivered sessions such as a Business Intelligence course at the Stemettes Oxford Hack at Christ Church College, Oxford (2013).
His academic contributions emphasize bridging industry practice with education, mentoring on topics like machine learning, blockchain applications, data-driven finance, and emerging AI paradigms.
Other activities
Jan Rock is an open-source contributor and has shared insights through professional platforms on algorithmic trading, blockchain, and AI.
References
- LinkedIn profile
References
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