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Daniel Wolf shared thisSuper excited to share what we’ve been working on in life sciences, with the Rosalind Workbench launch. Proud of this team and excited for what’s ahead!Daniel Wolf shared thisRosalind Workbench is now in Research Preview. Empowering each scientist to be their own research team. Fragmented data, disconnected tools, and unclear experimental records can slow the pace of discovery. Rosalind Workbench brings frontier model intelligence, domain-specific scientific models and tools, and agentic orchestration into a single workspace—helping scientists move from question to insight faster. Meet Rosalind Workbench: https://lnkd.in/dMqxCxxu
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Daniel Wolf shared thisThe Core Science team at OpenAI is hiring. We are building a new science vertical within Codex to help scientists advance their research and accelerate the next breakthroughs. We are working on problems across literature search, scientific writing, data analysis, computational biology. Ping me if you'd like to learn more. https://lnkd.in/gA_YdAdw
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Daniel Wolf shared thisSuper excited for today's launch of Prism—and so fortunate to work alongside Kevin Weil, Alex Lupsasca, Victor Powell, Aleksey Smolenchuk.Daniel Wolf shared this💥 Today we’re introducing Prism—a free, AI-native workspace for scientists to write and collaborate on research, powered by GPT-5.2. Accelerating science requires progress on two fronts: 1. Frontier AI models that use scientific tools and can tackle the hardest problems 2. Integrating that AI into the products scientists use every day Prism is free to anyone with a ChatGPT account, with unlimited projects and collaborators. Try it today at prism.openai.com—would love to hear your feedback.
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Daniel Wolf shared thisI'm so proud of the team for this launch today, and really excited to share what we’ve built together. https://lnkd.in/gcF4T3Gx
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Daniel Wolf reposted thisDaniel Wolf reposted thisCome join our next webinar to learn about how Betteromics' real time process monitoring and QC accelerates biologics manufacturing and R&D. We hope to see you there! When: December 11, 2023 at 1:00pm PT Registration: https://lnkd.in/djKu6Etk #lifesciences #processmonitoring #multiomics #digitalmedicine #innovationWelcome! You are invited to join a webinar: Betteromics & Process Monitoring. After registering, you will receive a confirmation email about joining the webinar.Welcome! You are invited to join a webinar: Betteromics & Process Monitoring. After registering, you will receive a confirmation email about joining the webinar.
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Daniel Wolf shared thisToday marks an exciting milestone at Betteromics. I am excited to share that we’ve closed our $20 million Series A funding round, co-led by Sofinnova Partners and Triatomic Capital. Our team is growing! Please reach out if you’d like to learn more about joining us on our mission. https://lnkd.in/eTzfsM9JBetteromics raises $20 million in Series A financing, led by Sofinnova Partners and Triatomic Capital - BetteromicsBetteromics raises $20 million in Series A financing, led by Sofinnova Partners and Triatomic Capital - Betteromics
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Daniel Wolf shared thisProud of what we are building at Betteromics. Check out this overview from Liana Engie: https://lnkd.in/e5ubMY3c. We are currently hiring for different positions. Check out https://lnkd.in/eZVQW_rN. Ping me if you want to learn more.
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Daniel Wolf shared thisI joined Betteromics a year ago. It has been fascinating to join an inspiring team, and dive into biotech. We are on a mission to build an Omics AI Cloud that will change the way data is being analyzed and stored in life sciences. We are seeing major momentum and our team is growing! We have open positions in Engineering, Infrastructure, Bioinformatics, Customer Success, and Program Management. See https://lnkd.in/eV_mKNzp for more details. Don’t hesitate to contact me if you are interested, or simply want to learn more about our projects.
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1mo
Congrats Bozhena!
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4mo
I’ll miss working with you Kevin Weil. Thanks for everything you have done at OpenAI!
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Daniel Wolf liked thisThis panel! I cant wait for this conversation!Daniel Wolf liked thisWHH San Francisco Panel Announcement | The Future of Women’s Health: Addressing the Gaps Ahead At the Women’s Health Horizons San Francisco Summit on September 1, hosted at University of California, San Francisco Mission Bay, our closing panel will bring together leaders spanning technology, science, healthcare, investment, and patient advocacy. After a day focused on what’s changing in women’s health, we’re closing with an equally important question: what needs to happen next? Moderated by Natasha Allen, Partner at Foley & Lardner LLP, the conversation will connect distinct perspectives on how we turn innovation into meaningful change at scale. Nichole Young-Lin, MD, MBA, Clinical Lead for Consumer Health AI & Women’s Health at Google, will bring a technology and clinical lens to the opportunities and questions surrounding AI in women’s health. Dr. Mitzi Krockover, MD, Founder & CEO of WomenCentered, brings a cross-sector perspective spanning healthcare, investment, education, media, and the FemTech ecosystem. Rebecca Bloom, Founder and Author of When Women Get Sick, will bring the patient advocacy perspective, helping center the lived experiences and gaps that innovation ultimately needs to address. Marina Sirota, Professor and Interim Director of the UCSF Bakar Computational Health Sciences Institute, will bring expertise in data and computational health to how better evidence can drive discovery and more equitable care. We look forward to closing out WHH San Francisco with this important conversation. Join us at UCSF Mission Bay on September 1st. It’s not too late to secure your spot for only $249: https://lnkd.in/g-3q5mQR Jason Clark Drew Stewart Brontë Delmonico Emma Saul Alexia Tzelepis, PhD Candidate Michael Stathakis Christen Hankins Sofia Lani Carlene Bartley #WomensHealth #WomensHealthHorizons #SanFrancisco #WHH2026
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Daniel Wolf liked thisDaniel Wolf liked thisWe're bringing experimental validation to OpenAI's Rosalind Workbench through the Adaptyv API. Rosalind Workbench is a new way to orchestrate complex life science research workflows across models and specialized scientific tools. Through the Adaptyv API, those workflows can now run full design–build–test–learn cycles in our wet lab, with real experimental data feeding directly into the next round of designs. Learn more here: https://lnkd.in/dMqxCxxu
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Daniel Wolf liked thisDaniel Wolf liked this🧬 Meet Rosalind Workbench, a new life sciences experience built directly into Codex 👩🏻🔬 Rosalind Workbench brings frontier model intelligence, domain-specific scientific models and tools, and agentic orchestration into a single surface, empowering each scientist to become their own research team. With specialized scientific reasoning, sequencing pipelines, interactive viewers, and scientific tools, all connected within one workspace. Rosalind Workbench is now available in research preview. We’re excited to see how scientists adapt it to their own data, methods, and research goals. A huge thank you to our partners (Boltz, Tamarind Bio, Inductive Bio, Adaptyv and others) for bringing the tools and expertise that make the Rosalind Workbench useful to scientists in practice. Learn more: https://lnkd.in/g28cp_j2
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Daniel Wolf reacted on thisDaniel Wolf reacted on thisRosalind Workbench is now in Research Preview. Empowering each scientist to be their own research team. Fragmented data, disconnected tools, and unclear experimental records can slow the pace of discovery. Rosalind Workbench brings frontier model intelligence, domain-specific scientific models and tools, and agentic orchestration into a single workspace—helping scientists move from question to insight faster. Meet Rosalind Workbench: https://lnkd.in/dMqxCxxu
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Arjun Thakur
Just delivered a hands-on AI training for the engineering teams at a global consumer-electronics and home-appliance manufacturer. The best part: I didn't walk in with a fixed syllabus. I looked at who was in the room — mostly non-developers who needed to build AI, not fight a heavy stack — and rebuilt the curriculum around that. So I made a call: no LangGraph, no LangChain, no AWS Bedrock. Great tools when the requirement calls for them — wrong fit here. We went fully no-code and near-zero-cost instead: → built it all in n8n (drag-and-connect) → three AI agents, each on a free-tier Google Gemini model → RAG in NotebookLM Live in the room, we built agents that coordinated and handed off to each other, and asked the same question with and without RAG — so everyone could watch an AI hallucinate, then watch grounding fix it. They left able to rebuild all of it themselves — no licences, no lock-in, no cloud bill. That's the job: test for what the client actually needs, optimize hard on cost, and pick tools the room can keep using after I leave. Want AI training matched to your reality, not a vendor's stack? Let's talk 👉 https://lnkd.in/gtXhNxYf #AI #AgenticAI #n8n #NoCode #AITraining #RAG #AIinManufacturing #AIinFactory #NoteBookLM
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