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Dr. Olivia Lesslar’s Journey from Medicine to Tech

Recorded live at VivaTech 2024 in Paris, this podcast episode features Dr. Olivia Lesslar; a leading expert in integrating technology and medicine. Dr. Lesslar shares her journey from traditional medicine to the tech industry, highlighting her work in psychoneuroimmunology – the term used to describe the interactions between one’s emotional state, nervous system function, and immune system – and medical innovation.

Early Medical Career and Unique Interests

Dr. Olivia Lesslar began her medical career in Australia, where she trained as a medical doctor. Her interest in unconventional areas of medicine, such as the “tail ends of the bell curve,” set her apart early on. “I was interested in the tail ends of the bell curve because that’s where you’re going to find innovation,” she explains. This curiosity led her to explore lifestyle and functional medicine, eventually drawing her toward psychoneuroimmunology.

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Introduction to Psychoneuroimmunology

Psychoneuroimmunology, which intersects psychology, behavioral sciences, the nervous system, immunology, and hormones, became a focal point for Dr. Lesslar. She describes it as “the hard science behind the soft science of mind-body medicine.” This field resonated with her holistic approach to patient care, where she considered emotional and psychological factors alongside physical symptoms.

Bridging the Gap to Technology

Dr. Lesslar’s transition into the tech industry was serendipitous. Her unique perspective on problem-solving aligned well with tech entrepreneurs. “I look at problems differently, and funny enough, tech entrepreneurs look at problems differently,” she shares. This alignment led to her involvement with various tech ventures, including an accidental venture partner role with Sustainable Alpha and her position as science director for Sens.ai.

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Embracing AI, Psychoneuroimmunology, and Innovation

Although new to AI, Dr. Lesslar quickly saw its potential in healthcare. Surrounded by experts, she delved into AI’s applications in medical practice. She highlights, “AI has been really helpful in trying to aggregate and distill all that information in a way that’s palatable to practitioners and patients alike.” Her ability to bridge medical knowledge with tech innovation became a valuable asset in her career.

Ongoing Contributions and Future Directions

Today, Dr. Lesslar continues to innovate at the intersection of medicine and technology. Her work spans multiple companies and projects, all aimed at improving patient care through advanced medical technologies and holistic approaches. Reflecting on her journey, she emphasizes the importance of integrating diverse expertise to drive meaningful progress in healthcare.

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Fundraising 3 hours ago

London-based AI laboratory Ineffable Intelligence has emerged from stealth with a $1.1 billion seed round at a $5.1 billion post-money valuation, the company confirmed on 27 April 2026. The financing is the largest seed round ever raised by a European company and one of the largest first-money-in rounds in the global history of artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners. Participating investors included Nvidia, DST Global, Index Ventures, Google, and the UK Sovereign AI Fund, the British government’s recently established vehicle for backing strategic AI capacity on home soil. A bet on a different path to general intelligence Ineffable Intelligence was founded in 2025 by David Silver, the former Vice President of Reinforcement Learning at Google DeepMind and the principal architect of AlphaGo, AlphaZero and AlphaStar. He is joined by three further DeepMind alumni: Wojciech Czarnecki, Lasse Espeholt and Junhyuk Oh. All four have spent the past decade at the frontier of reinforcement learning research, the discipline behind some of the most consequential demonstrations of machine learning over the past ten years. The company describes its objective as building a “superlearner” — an AI system capable of acquiring knowledge directly from its own experience rather than from human-generated text or imagery. “Our mission is to make first contact with superintelligence,” Silver said in a statement accompanying the launch. “We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs.” The framing is a deliberate departure from the dominant industry trajectory. Most leading AI laboratories, including OpenAI, Anthropic and Google DeepMind itself, have built large language models trained primarily on the corpus of the internet, then refined that training with human feedback. Ineffable’s wager is that the marginal returns on scaling text-based pretraining are diminishing and that the next leap in capability will come from agents that learn endlessly from the consequences of their own actions, in much the same way AlphaZero learnt the game of Go without studying any human matches. Why $1.1 billion at seed The size of the round is unusual even by the inflated standards of the 2026 AI capital cycle. Two factors appear to explain it. First, frontier reinforcement learning at the scale Ineffable describes is computationally extraordinarily expensive: the company will need to operate vast simulation environments and train very large models against them, an undertaking that consumes capital at a rate closer to physical R&D than to traditional software. Second, the round signals a strategic move by Europe’s investor and policy ecosystems to retain the most ambitious AI researchers on the continent. The presence of the UK Sovereign AI Fund alongside Sequoia, Lightspeed and Nvidia is the clearest expression of that intent. The British government has publicly framed the investment as a bet on breakthrough AI that “can discover new knowledge”, positioning the country as a willing co-investor in domestic frontier laboratories. For Ineffable, the implication is access not only to capital but to compute, regulatory engagement and the still-resilient academic talent base around UCL, Oxford, Cambridge and Imperial. Founder pledge of historic scale Alongside the funding announcement, Silver disclosed that he is committing 100 per cent of any personal proceeds from his Ineffable equity to charity via the Founders Pledge network — described by the organisation as the largest pledge in its history. At the round’s $5.1 billion valuation, that commitment could ultimately exceed several billion dollars if the company succeeds. It is a meaningful gesture in a sector where the reputational stakes around concentrated AI wealth are escalating, and one likely to be referenced in subsequent founder-led commitments. Implications for the European AI landscape Ineffable’s emergence reshapes the European AI map in three concrete ways. It establishes London as the home of the continent’s largest-ever seed-stage company, complicating Paris’s recent narrative of frontier-AI primacy after Mistral’s earlier rounds. It validates a thesis — that reinforcement learning, not transformer scaling, is the next frontier — that has lately been losing capital share to language-model incumbents. And it confirms that the UK government is now willing to act as a balance-sheet co-investor in domestic AI laboratories, a posture much closer to the French model than to the predominantly grant-based regimes elsewhere in Europe. The execution risk is non-trivial. Reinforcement learning at frontier scale has historically required years of careful environment design before producing competitive systems, and Ineffable’s “first contact” framing sets a high bar against which it will be judged. But for now, with a billion dollars on the balance sheet, four of the discipline’s most accomplished researchers in the founding team and a sovereign co-investor at its back, Ineffable Intelligence is the most heavily resourced new entrant in the European AI cycle. Sesamers covers European fundraising rounds across deeptech, fintech and AI. Source: tech.eu.

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