{"id":6935,"date":"2026-06-01T21:34:23","date_gmt":"2026-06-01T20:34:23","guid":{"rendered":"https:\/\/tsinghua.org.uk\/?p=6935"},"modified":"2026-06-01T21:40:49","modified_gmt":"2026-06-01T20:40:49","slug":"registration-ukta-x-agi-odyssey-london-tech-week-2026-official-fringe-event-trustworthy-agentic-ai","status":"publish","type":"post","link":"https:\/\/tsinghua.org.uk\/index.php\/2026\/06\/01\/6935\/","title":{"rendered":"Registration | UKTA \u00d7 AGI Odyssey London Tech Week 2026 Official Fringe Event: Trustworthy Agentic AI"},"content":{"rendered":"
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As AI systems rapidly evolve from passive tools into autonomous agents capable of reasoning, coordinating, and acting in real-world environments, a new set of questions is becoming central: How can agentic AI be made trustworthy? What infrastructure is needed to support it? And how will it reshape coordination, decision-making, and value creation in the real economy?<\/span><\/p>\n

Hosted as a\u00a0London Tech Week 2026 Official Fringe Event<\/strong>, this curated evening brings together speakers and participants from AI, finance, infrastructure, governance, and the wider technology sector to explore the next stage of trustworthy agentic AI.<\/p>\n

The discussion will focus on the emerging infrastructure stack for AI agents, the coordination challenges between humans and autonomous systems, and the responsible deployment of trusted AI agents across complex economic and institutional environments.<\/p>\n

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Event Details<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Event Theme
\n<\/span><\/strong>Trustworthy Agentic AI: Infrastructure, Coordination, and the Real Economy<\/span><\/span><\/p>\n

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Date & Time<\/span><\/strong>
\n18:00\u201321:00, 9 June 2026<\/span><\/span><\/p>\n

Venue<\/strong>
\nPangura Limited
\n6th Floor, 75 King William Street
\nLondon EC4N 7BE<\/p>\n

Hosted by<\/strong>
\nUK Tsinghua Association<\/p>\n

AGI Odyssey<\/span><\/p>\n

Sponsored by<\/strong>
\nCBCX
\nNetMind.AI
\nPangura<\/p>\n

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18:00\u201319:00 Opening Plenary Session<\/span><\/strong>
\nWe are delighted to welcome Dr Yuan Gao and our special guest speakers for a series of short plenary talks on trustworthy agentic AI and its real-world impact.<\/span><\/span><\/p>\n

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19:00\u201320:00 Panel Discussion<\/strong>
\nModerated by Dr Yejia Xu, the panel will feature guest speakers including Dr Craig Li, Dr Xiangpeng Wan, Dr Yan Wang, and Zhengwei Zhang, followed by audience Q&A.<\/span><\/p>\n

20:00\u201321:00 Reception<\/strong><\/p>\n

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Keynote Speakers<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Dr Yuan Gao is Founder and CEO of Pangura Limited, an institutional AI company applying complex systems science to financial intelligence. Her career spans quantitative systems development, asset-allocation automation, and institutional client leadership. At Swiss Re Group Asset Management, she contributed to proprietary black-box algorithmic systems and cross-asset allocation models, and led automated SAA\/TAA, private debt, and real estate investment solutions. At CICC (UK), she established the bank\u2019s FICC institutional sales business. She is also a Senior Advisor to NetMind.AI and a\u00a0co-founder & CIO of N0S.Tech.<\/p>\n

Dr Gao holds a PhD from Newcastle University, specialising in Turbulent Combustion, an MBA and a BEng in Automation from Tsinghua University, PRM certification, CISI membership, and FCA-recognised securities qualifications. She is also a Freeman of the City of London.<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Full speaker details will be released soon.\u00a0<\/span><\/strong><\/span><\/p>\n

Stay tuned for the surprise line-up!<\/span><\/strong><\/span><\/p>\n

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Panel Guests<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Dr Craig Li<\/strong>\u00a0is CTO and co-founder of Binome, where he is building Mira, an agentic solution for operations automation. He brings deep expertise in AI, machine learning, and large-scale software engineering, with experience delivering production systems in investment banking and enterprise environments. At Palantir, he developed data and operational platforms for clients, applying ontology-inspired approaches to model workflows, assets, and decision-making. He holds a PhD from the University of Bristol and combines research depth with practical product and engineering execution in applied AI.<\/p>\n

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Dr Xiangpeng Wan<\/strong>\u00a0is Applied AI Engineering Lead at NetMind.AI in London, where he works on reliable enterprise AI agents across fintech and real estate. A frequent speaker on AI agents, MCP, and enterprise AI, he has presented at Google, OxML 2025, Community Stack, and AICamp, and has contributed expert commentary to TechRound, Raconteur, and InformationWeek. He holds a PhD in Artificial Intelligence from the Stevens Institute of Technology. His work focuses on making large language models dependable in production, with interests spanning LLM agents, retrieval-augmented generation, evaluation and guardrails, and MCP-based tool orchestration.<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Dr Yan Wang<\/strong>\u00a0is an Assistant Professor in Social Statistics at the University of Manchester. She received her PhD in Sociology from the London School of Economics and Political Science, and holds a BS in Sociology and an MA in Management from Tsinghua University. Her research examines public opinion, political communication in cyberspace, social policy, and governance, with methodological interests in machine learning, causal identification, and text analysis.<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Zhengwei Zhang<\/strong>\u00a0is a Quantitative Researcher and Associate Portfolio Manager at Aviva Investors in London, building macro systematic strategies for Multi-Strategy Target Total Return Funds across FX, Futures, and Fixed Income. She also previously served as the Lead of Quantitative Modelling at a Fintech startup. She holds both CQF and FRM certifications and an MSc degree in Mathematics and Financial Statistics from LSE. She has a great passion for AI, Fintech, and Financial Markets and consistently looking for alpha.<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Dr Yejia Xu<\/strong>\u00a0is the Principal Quantitative Researcher at Theia Insights, where he leads the development of innovative NLP-driven factor models for thematic investing. He holds a PhD in Economics from the University of Southern California and was a postdoctoral fellow at Harvard Business School, with expertise in digital platform economics. He is also a widely-followed writer on Zhihu, China’s leading knowledge-sharing platform, where his writing on the intersection of economic theory and recent technological developments has drawn over 300,000 followers.<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Registration<\/b><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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The event warmly welcomes Tsinghua alumni in the UK, friends of Tsinghua, and members of the broader community to participate.<\/p>\n

Admission is free of charge. Please scan the QR code or click the register link on the London Tech Week official website<\/a>. Registration will close at 24:00 (UK time) on 8 June.<\/strong><\/p>\n

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Join us for an evening of focused discussion, practical insight, and cross-sector exchange on the future of trustworthy agentic AI.<\/strong><\/span><\/p>\n

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About AGIO<\/b><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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AGI Odyssey is a non-profit organization headquartered in Vienna, Virginia, dedicated to advancing artificial intelligence (AI) through global academic collaboration, innovation exchange, and community engagement. We create platforms for AI researchers, students, startups, and investors to connect, share ideas, and explore real-world applications of AI. Our initiatives include conferences, seminars, and the Global Artificial Intelligence Championships (GAIC), all aimed at fostering interdisciplinary partnerships and accelerating AI progress. AGI Odyssey is committed to building an inclusive, vibrant AI ecosystem where knowledge flows freely, innovations are showcased, and the future of AI is shaped collaboratively across borders and disciplines.<\/span><\/p>\n

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CBCX is an award-winning multi-asset liquidity provider. Since its inception in 2011, the firm has been committed to replicating an interbank pricing and trading environment, building secure, stable, and highly efficient global trading infrastructure, and delivering a one\u2011stop liquidity solution anchored in a superior trading experience.<\/span><\/p>\n

Headquartered in the UK, all CBCX entities are regulated by globally recognized authorities across key jurisdictions. With a stringent compliance framework, the group provides robust protection for its global partners. Leveraging bank-grade pricing and advanced trade execution capabilities, CBCX delivers deep liquidity and institutional\u2011grade, high\u2011performance execution to brokers, hedge funds, asset managers, and professional traders.<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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The NetMind.AI team has been delivering all-in-one enterprise AI solutions, from consulting to implementation, since 2017 in the UK & US. Our unique advantage lies in our foundational technology: a distributed AI platform that has been empowering thousands of developers daily with GPUs, scalable inference, advanced agentic systems and MCP services. Combined with our renowned research publications, we ensure the latest AI technologies give you measurable returns within weeks, not months.<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
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Pangura is a fintech company founded by Tsinghua alumni and headquartered in the City of London. Its integrated institutional intelligence platform is built for organisations where every analytical output carries a fiduciary obligation, serving sovereign funds, global macro funds, bank model risk teams and quantitative research institutions.<\/span><\/p>\n

The platform integrates live market data, visual workflow building, multi-agent deliberation and cross-asset signal generation into a single, auditable analytical pipeline \u2014 enabling institutions to construct, execute and document their most complex investment strategies with greater speed, rigour and transparency. \u00a0Logic Lineage\u2122, Pangura’s proprietary provenance architecture, ensures every analytical output carries a complete reasoning chain \u2014 covering data sources, underlying assumptions and the institutional logic that shaped the conclusion.<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\n","protected":false},"excerpt":{"rendered":"

As AI systems rapidly evolve from passive tools into autonomous agents capable of reasoning, coordinating, and acting in real-world environments, a new set of questions is becoming central: How can agentic AI be made trustworthy? What infrastructure is needed to support it? And how will it reshape coordination, decision-making, and value creation in the real […]<\/p>\n","protected":false},"author":2,"featured_media":6959,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[5,9],"tags":[],"class_list":["post-6935","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-schwarzman"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/posts\/6935","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/comments?post=6935"}],"version-history":[{"count":3,"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/posts\/6935\/revisions"}],"predecessor-version":[{"id":6987,"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/posts\/6935\/revisions\/6987"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/media\/6959"}],"wp:attachment":[{"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/media?parent=6935"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/categories?post=6935"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tsinghua.org.uk\/index.php\/wp-json\/wp\/v2\/tags?post=6935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}