About
CEO and founder of MedForceAI in 2025, a medtech AI start-up, with the global vision of…
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Jay Liu shared this5 hours into another amazing HETT Show and I am feeling energised and exhausted all at once! I said it last year, and I'm going to repeat myself again, but nothing beats meeting future partners in the flesh. Building those first layers of trust is vital to creating those positive patient changing experiences and outcomes we are all striving for.
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Jay Liu shared thisSo 3 months after the launch of the Eastern SDE I wanted to highlight that I am now actively engaging with Rebecca Archdeacon Mark Avery Keiran Raine on in-progress projects, grant applications and NHS data support, and I am happy to report that my initial optimism was well founded. I know working with the NHS can sometimes be a bit of a slog, but this part of it has been really supportive to date, and deserves the positive energy in this post 👏
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Jay Liu shared thisWith my new friend Livy (the liver) at the EASL conference in Barcelona. Great to talk AI with the leading hepatologists in Europe and beyond.
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Jay Liu shared thisI used to be scared of pitch events, now I LOVE them 🥰. We have been selected as 1 of the 8 to pitch at the AI Founder Pitch & Roundtable Night event this Thursday in London at Home House. Building a start-up is all about: feedback > iteration > improvement. Most importantly, it’s about how I portray the passion, vision, and traction behind MedforceAI - Specialist Clinic OS and how we help doctors treat more patients, to everyone I meet, especially investors. Because I love what I do, I welcome any chance I get to learn and make our business better. Thanks to SuLe and Brown Rudnick LLP for organising. Sign up below and it would be great to see you there! https://luma.com/b664yhnpAI Founder Pitch & Roundtable Night w/ Top Investors 🎤 · LumaAI Founder Pitch & Roundtable Night w/ Top Investors 🎤 · Luma
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Jay Liu shared thisHow should we rate the success of NHS England's SDE initiative that will eventually become the Health Data Research Service (HDRS) when the SDEs unite? I was at the launch of the Eastern SDE, consummately hosted by Mark Avery, where they showcased their impressive array of capabilities and use cases. However, this is healthcare, and what we should be really asking is: > Show me the hard evidence that clearly demonstrates the improved patient outcomes in actual contexts of the NHS (a la Kevin McDonnell)? > What will be the real driving forces underpinning the functioning of the HDRS? Will it be geared to: > chasing the big pharma drug development cash or will it > support the development and continued assessment of technologies that materially help NHS staff safely treat more patients on a daily basis? Only time will tell, but as a medtech AI founder I need: > diverse and representative data > that is easily accessible and affordable > that can be the foundation of my technical file for medical device certification > with contractual usage terms that don't destroy my value proposition to investors NB. On a side note, I am talking to Mark and his team about future projects so I remain optimistic but I also need to be realistic about the challenges of working with NHS entities, so I will keep you updated. NB 2. The image is from the excellent artist who was visually summarising the conference on the day.
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Jay Liu shared this1. Learn how to create AI agents 2. Focus on the human softer skills & creativity that AI cannot have 3. Be curious and learn what your edge is vs your competitors 4. Take responsibility and be accountable from day one at work were the key advice that the panel gave the audience at UCLs Biotech Next Era event about how to start a career in health/ bio tech. The disruption that AI is causing presents the next generation an opportunity to really change the world, but this privilege will only be available to those who understand how to multiply their creativity using AI, and who are also able to spot where really value lies between the AI-human interfaces of our workflows. If they don't, I think they will be left behind. Big thanks to Khadiga Kandil and Mara-Alexia Sangiorzan for putting themselves out there and organising the event, and my fellow panelists: Katie Lockwood Alya M. Nataliya V. Lukas Rabl Mark Bartlett Neil Flash Kamal Jain and our interviewer: Snehit Shroff for all adding incredible insights that are shaping the future of our industry.Jay Liu shared thisGrateful to have joined an incredible panel at UCL on #Biotech's Next Era — a sharp, honest conversation on where #AI meets life sciences. Some key takeaways from the discussion: 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗔𝗜 𝗶𝗻 𝗯𝗶𝗼𝘁𝗲𝗰𝗵 𝗶𝘀 𝘂𝗻𝗱𝗲𝗿𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲𝗱 — compute, validation, and governance are consistently the blind spots for enterprises rushing to deploy 𝗧𝗵𝗲 𝗵𝘆𝗽𝗲 𝗴𝗮𝗽 𝗶𝘀 𝗿𝗲𝗮𝗹 — several AI capabilities assumed imminent in healthcare are far from production-ready 𝗧𝗵𝗲 𝘃𝗮𝗹𝗹𝗲𝘆 𝗼𝗳 𝗱𝗲𝗮𝘁𝗵 𝗽𝗲𝗿𝘀𝗶𝘀𝘁𝘀 — funding structures and incentive misalignment remain stubbornly unchanged 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 — when models influence genomic interpretation or risk stratification, the liability framework is still unclear 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗼𝘃𝗲𝗿 𝘀𝗶𝗻𝗴𝗹𝗲-𝗮𝘀𝘀𝗲𝘁 𝗯𝗲𝘁𝘀 — early-stage teams building single-asset bets with a broader vision to scale may have better customer stickiness 𝗛𝘂𝗺𝗮𝗻 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝘀𝘁𝗶𝗹𝗹 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 — in a world of GenAI, critical thinking, domain expertise, and interdisciplinary fluency remain irreplaceable Huge thank you to the organisers, especially Khadiga Kandil and Mara-Alexia Sangiorzan, for putting the evening together, and to my fellow presenters and panellists Katie Lockwood, Alya M., Jay Liu, Nataliya V., Lukas Rabl, Mark Bartlett and Neil Flash for such a generous and open conversation. Privileged to contribute alongside such thoughtful voices shaping the future of this space. If you’re working at the intersection of AI and biotech and are thinking about scale, validation, or governance, I’d love to continue the conversation. What’s the one capability you’re personally trying to build for the next 10 years? #Biotech #AI #AgenticAI #Healthcare #UCL #MachineLearning #Genomics #Innovation
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Jay Liu shared thisJust booked a place at the Last Friday Club with Steve Roest. 30mins world class advice... for free... BRILLIANT!Jay Liu shared thisThe last 4 weeks have been brutal, personally. But helping people helps me stay strong. So I've expanded the Last Friday Club. Do you need help proving everyone wrong? This photo was from today, but that poster has been there for years. Last Friday Club is my movement that gives you: 1️⃣ A neutral space to talk about your challenges. 2️⃣ Totally independent opinions on solutions. 3️⃣ 30 minutes of my time, for free. New slots for next 4 months open now: https://lnkd.in/eSi86UgF If you need help with a business challenge, let's chat. I don't want cash I don't want equity I don't want to be on your Board I just want to help. Got questions? Drop 'em below 👇 ♻️ Hit repost to help the Community. ➕ If this resonates, follow me for daily posts on Health, HealthTech, Disease Prevention and the Startup Journey.
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Jay Liu shared thisThanks Khadiga Kandil, Mara-Alexia Sangiorzan & VeltaNova for inviting me to be a on the panel of the UCLA's Biotech's next era event on March 18, 1730. Sign-up here: https://lnkd.in/d3FcVisc I really look forward to adding some insight into how to build careers in biotech, especially around how AI is going to change the roles of the next generation of entrepreneurs.Jay Liu shared thisTogether with Mara-Alexia Sangiorzan and VeltaNova, I’m organising and hosting a UCL-sponsored event on biotech's next era - and yours. The evening will explore how people actually build careers in biotech from academia and consulting to venture and startups and the key inflection points that shape those trajectories. The discussion will also look ahead to the structural shifts transforming the industry, including AI-driven discovery, emerging technologies, and how innovation moves from research into startups and real-world impact. Looking forward to conversations with: Katie Lockwood Lucy Jung Alya M. Jay Liu Nataliya V. Lukas Rabl Mark Bartlett Neil Flash Kamal Jain If you're interested in biotech, healthtech, venture, or the future of healthcare, we’d love to see you there. https://lnkd.in/e-YshSAj
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Jay Liu shared thisI had a whole room of NHS leaders laugh at me yesterday at the HETT Show. Here’s why. At the end of their presentation, James Friend asked the audience: “Do you think adding AI triage to the NHS App will make clinical outcomes: A) Safer B) The same C) Less safe?” I was the only person in the room who voted C) Less safe. James then asked what I did for a living. I replied: “I build AI triage systems for the NHS.” Cue laughter. Here’s the point I then made to the room: AI triage should not be assumed to be safe by default. If it is well designed, clinically validated, and continuously monitored, then yes, it can make care safer. But the AI hype we have all heard does not equate to hard evidence. When lives are at stake, only robust clinical data earns the hard trust of clinicians and patients that any AI systems in the NHS is worth using. Huge credit to Matea Deliu MD, PhD, MRCGP , Ragu Rajan, and James for the core work they are doing on AI triage within the NHS App. AI has enormous potential to improve population health. But when it comes to patient safety, it’s never a laughing matter.
Jay Liu commented on a post
3mo
Thank you RADIANT CERSI for your support at the start of our medtech journey. It really put us on the correct path, that centres on proving safe positive patient outcomes, which is what clinicians really need when adopting novel clinical AI technologies.
Jay Liu replied to a comment
6mo
lovely bumping into you today Clive as always!
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Jay Liu liked thisJay Liu liked thisIt was a privilege to teach arbitration at University of Paris I: Panthéon-Sorbonne this week as part of the Master 2 Droit des assurances (Paris II - Panthéon Assas) with the hugely accomplished Eric Evian and Alexis Valençon. I really appreciated the invitation. Hopefully not the last time at this historic and beautiful place.
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Jay Liu liked thisJay Liu liked this7 years ago, I wrote my doctoral dissertation with one question in mind: why is Value-Based Healthcare so hard to implement? My finding: the main barrier is health information technology. It was built to bill, not to measure outcomes. That finding was the starting point of my pivot into tech. Value = outcomes ÷ cost, and we could only measure half of it. Its 2026. In the age of Opus 5.5, GPT-6 and Jev, VBHC is still hard! Here's why: 1. No ontological framework for AI agents in healthcare. Agents can reason, but they have no shared map of what an outcome is or how to measure it. 2. Outcomes that matter exist, but they're scattered. They sit in clinical guidelines, siloed by specialty, and experts sometimes disagree on them. International Consortium for Health Outcomes Measurement (ICHOM) has standard sets, but many conditions and procedures are still unmapped. 3. Data collection is the real bottleneck. No incentive, no data. Providers, payors and regulators all have a part here. Only when outcomes are rewarded, providers start measuring them. AI is smart. But without a framework, it comes up with different answers that can't be compared from one provider to the next. That's what we're building at Valiance Health: the foundation AI can depend on. We extended the OMOP Common Data Model to give AI agents a shared language for outcomes. The models got smarter. Now the foundation has to catch up. #ValueBasedHealthcare #VBHC #HealthcareAI #HealthIT #ICHOM
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Jay Liu liked thisJay Liu liked thisReally great to see ASOS featured at Big Data London this week! 🎤 Our AI journey was shared on stage: how we transformed our data foundations to enable AI across the business, and how we used AI to accelerate the programme itself. My team's work on the consumption layer, including semantic models. BI & analytics, sits right at the heart of that. It was great to see it on the big stage. Thanks to everyone who came along and asked such great questions! #BigDataLDN #ASOS #AI
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Jay Liu liked thisJay Liu liked thisI am incredibly proud to share that I have officially requalified as an Accredited Member (ISA AM) in Fine Art with the International Society of Appraisers—marking a decade of holding this credential. A sincere thank you to my company AXA XL for their continued trust, support and investment in my professional development. Requalification is required of all ISA members every five years to ensure we maintain the highest standards of technical excellence. The process involves passing a rigorous examination on updated appraising knowledge, USPAP (Uniform Standards of Professional Appraisal Practice) guidelines, and report-writing standards, alongside documenting ongoing professional education within the field. This deep foundational knowledge is the backbone of my underwriting and art insurance responsibilities. It equips me to carefully review and evaluate valuations proposed by various sources, and more importantly, to actively guide clients who need assistance finding the appropriate valuation approach for their policies. Blending my lifelong passion for art with technical expertises —helping clients navigate the complex landscape of protecting their most cherished valuables, and in turn, safeguarding our cultural heritage for generations to come—is an absolute privilege. If you or your clients have any trouble seeking a current valuation for insurance purposes, please do not hesitate to reach out - I am always happy to provide helpful guidance. #AXAXL #ArtInsurance #ArtExpert #ProtectTheUnique
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Jay Liu liked thisJay Liu liked thisChatGPT has now a big problem. Researchers at Oxford and Cambridge exposed a massive threat to large language models.” They call it “model collapse." Internet ecosystem is rapidly changing, and generative AI will soon contribute much of the text found online. This forces us to consider what happens to future iterations like gpt-n when they are trained on data scraped from the web that was already generated by an llm. According to the research, indiscriminately using model-generated content in training causes "irreversible defects" in the resulting ai. the model loses the "tails of the original content distribution." in other words, it begins to forget the creative, fringe, and unique nuances of actual human writing, collapsing into a repetitive echo chamber. This isn't just a chatgpt issue.. the researchers built theoretical intuition showing this collapse is ubiquitous across learned generative models, occurring in large language models as well as in variational autoencoders and gaussian mixture models. Tech companies rely on scraping the internet for large-scale data to build smarter models. However, the paper warns that if we want to sustain the benefits of training on web data, model collapse must be taken seriously. Ultimate takeaway? data collected from genuine human interactions is going to become increasingly valuable in a web filled with ai content. ———— Source: https://lnkd.in/gbN65yyG For those interested, I'm breaking down exactly how to survive (and thrive) in the AI era in my newsletter: https://lnkd.in/g_APR836
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Jay Liu liked thisJay Liu liked thisExcited to be starting as Investor in Residence at the The University of Edinburgh's AI Accelerator. My goal in this role is to provide feedback for the founders from an investors perspective. That means being candid about what investors will look for, pressure-testing go-to-market strategies, and helping teams work out which milestones actually matter for their next raise. Edinburgh has one of the UK's strongest AI research communities, and the Bayes Centre has turned that into a valuable pipeline of exciting AI-native companies. Thanks to everyone at the University of Edinburgh for the welcome, I'm looking forward to the next six months! https://lnkd.in/gyd8cFsySVV Joins University of Edinburgh AI Accelerator as Investor in Residence — SVVSVV Joins University of Edinburgh AI Accelerator as Investor in Residence — SVV
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Jay Liu reacted on thisJay Liu reacted on thisIt's rare that I write a completely negative post on Linkedin. Today is one of those days... The HealthTech dinners are a huge success, you only have to look at the feedback shared publicly by the attendees to know that. There is no commercial agenda or sponsorship and I have worked hard to keep it that way. The dinners use up a significant chunk of my time, which i give freely. There is a LOT of admin, as others who have helped me from time to time can attest. Which is why it makes me so annoyed when people ignore all of that effort and having said they will attend, and knowing that I've paid a deposit upfront for them, fail to show up. No message in advance. Nothing. Out of over 60 registrations this time, there were 15 no-shows on the night. The restaurant had prepared their food and so charged me a fee over and above the deposit - a total of £36 each. Having chased everyone, and received apologies ranging from family and work emergencies, the birth of new offspring, to illnesses, I still have four people who have not responded or paid. (One responded two minutes ago, finally!) That leaves me £144 out of pocket. Having said that, I've paid more than that several times when people left dinners in the early days without paying - yes, that happened! But it's not about the money. It is the principle of it. Those people know who they are, will probably read this, and will know that I've contacted them both on here and via email. Their names have been removed from the invitee list. They are no longer welcome. I have no other levers to pull. But if in future I ask people to pay their own deposit rather than me paying it on everyone's behalf, you'll know why. I'm not naming them on here as I don't believe in doing that sort of thing, but believe me, I was tempted!!!! 🤯😡🤬😡😠
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Jay Liu liked thisJay Liu liked thisIt was a great weekend at Tylney Hall with the London Court of International Arbitration (LCIA). A pleasure to see old friends and make new ones, and I came back to Paris feeling throughly briefed about the key issues in arbitration at the moment. One tip if you go - don't try and walk from the station. The paths on Google maps don't exist, so you end up on the road where every attendee passes you and by the time you arrive you have become "that guy who walked to the country hotel" (one good samaritan, they know who they are, did stop to give me a lift (Duxton Hill Chambers)). Kudos to the photographer for these great pictures too.
Experience & Education
Licenses & Certifications
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Institute of Practitioners in Advertising Foundation Certificate
IPA (Institute of Practitioners in Advertising)
Volunteer Experience
Publications
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What is AI, and how will it revolutionise retirement?
Saga Reinvented Conference 2019
See publicationRecorded at Saga's Age Reinvented Conference, Jay Liu talks about the multiple ways Digital Dandelion have used Al to improve people's lives, as well as a vision of how Al will shape the future of older generations.
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Artificial Intelligence – Our Future: The Impact on the Content and Communication Industries
DMG Roundtable - The Stationers Company
See publicationAn expert, industry panel discussion about Artificial Intelligence technologies and their applications in different sectors of the content and communication industries.
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Insurance Expert Panel
CogX London 2017
See publicationPart of the expert panel discussing the future of AI on the insurance industry in the break-out session
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Legal & Professional Services Expert Panel
CogX London 2017
See publicationPart of the expert panel discussing the future of AI on the legal and professional services in the break-out session
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How to predict data science success
Data Science Festival, London
See publicationA series of personal anecdotes that illustrate the key factors that explain data science success
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Infrastructure for machine learning within a marketing context
Cognition X, London
Courses
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Google Cloud Platform Onboarding Course
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Honors & Awards
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Gold - 'Innovation - Best use of technology'
PM Society Awards 2024
PIRL™ (the AI system we designed) by Page & Page is a pioneering AI-driven platform that redefines how healthcare professionals’ (HCP) behaviours are understood and influenced. By integrating over 27 billion data points, PIRL employs advanced web scraping, AI analytics, and propensity scoring to generate deep insights into HCP prescribing habits.
In collaboration with Pfizer, PIRL’s innovative approach allowed for the precise targeting of communications and real-time strategy…PIRL™ (the AI system we designed) by Page & Page is a pioneering AI-driven platform that redefines how healthcare professionals’ (HCP) behaviours are understood and influenced. By integrating over 27 billion data points, PIRL employs advanced web scraping, AI analytics, and propensity scoring to generate deep insights into HCP prescribing habits.
In collaboration with Pfizer, PIRL’s innovative approach allowed for the precise targeting of communications and real-time strategy adjustments, significantly boosting engagement and sales. The project’s novel use of technology and data-driven insights exemplifies how pharma communications must evolve beyond traditional methods, giving communicators a much more nuanced understanding of HCP behaviours for increased efficiency and effectiveness.
Judges felt strongly that this campaign has done fantastic work in creating a product to enhance customer insights to better understand their behaviours, and therefore to better tailor communication strategies. In harnessing the huge power of data and AI, organisations are enabled to stay effective and relevant to their audience in an ever-evolving market.
A clear Gold winner, the judges were particularly excited about how the team had succeeded in drawing actionable insights from previously unused data making this a potential “game-changer”. -
Silver - 'Pharma Technology Impact'
PM Society Awards 2024
PIRL™ (the AI system we designed) is a cutting-edge AI platform revolutionising how pharmaceutical brands engage with Healthcare Professionals (HCPs).
By harnessing over 27 billion data points, PIRL offers hyper-personalised insights that enable precise targeting, optimised resource allocation, and enhanced ROI. The platform empowers brands to connect with HCPs through tailored strategies that resonate on an individual level, driving significant sales uplifts and improved patient…PIRL™ (the AI system we designed) is a cutting-edge AI platform revolutionising how pharmaceutical brands engage with Healthcare Professionals (HCPs).
By harnessing over 27 billion data points, PIRL offers hyper-personalised insights that enable precise targeting, optimised resource allocation, and enhanced ROI. The platform empowers brands to connect with HCPs through tailored strategies that resonate on an individual level, driving significant sales uplifts and improved patient outcomes.
Through predictive analytics and advanced audience profiling, PIRL has transformed traditional pharma marketing into a dynamic, efficient, and impactful process, meeting the evolving needs of healthcare professionals. -
Solo exhibition
The Poetry Cafe, London
Solo art exhibition
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Group exhibition
Southbank Center, London
Member of an international group exhibition as part of the Festival of Love
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Artist residency
Institut für Alles Mögliche, Berlin
Awarded 1 month artist residency in Berlin
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Why newspapers build brands?
News Marketing Agency Association
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Best Use of Magazines in a Mixed Media Campaign
Press Periodical Association Award
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Campaign of the Month
News Marketing Agency Association
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