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The Life Sciences D’n’A podcast is hosted by AI and data analytics experts and pharma industry veterans Nagaraja Srivatsan and Amar Drawid. They explore the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.
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Moving AI beyond a pilot requires more than choosing a model or building a tool. It requires leadership support, employee trust, and a clear connection to business results. On this episode of Life Sciences DNA, Marc Raman, chief data and AI officer at Alcon, sits down with Srivatsan Nagaraja to discuss the company’s experience putting AI to work across manufacturing, sales, marketing, and employee services. Raman shares what worked, what needed to change, and why a useful homegrown product can still be worth replacing. He discusses how to manage expectations, capture employees’ expertise, navigate shifting technology economics, and build a workforce prepared to keep learning as AI advances.
Artificial intelligence may be moving quickly, but life sciences companies cannot afford to treat it as a race for the latest shiny tool. In this episode of Life Sciences DNA, Brinda Banerjee, CIO of Stemline Therapeutics, sits down with Srivatsan Nagaraja to discuss how an oncology-focused biopharma company can pursue AI with rigor, speed, and a clear connection to business and patient impact. Banerjee offers a practical framework for moving from enthusiasm to execution: start with the business problem, build trusted data and governance foundations, keep experts in the loop, and form agile, cross-functional teams that can test, learn, and scale what works.
Artificial intelligence is reshaping how biopharmaceutical companies discover, develop, commercialize, and support medicines. But realizing its potential requires far more than adopting the latest tools. Srivatsan Nagaraja speaks with Matt Lasmanis, chief digital officer at Jazz Pharmaceuticals, about building a digital, data, and AI strategy grounded in corporate ambition and measurable outcomes. Lasmanis offers a practical framework that begins with strategy, identifies the business outcomes that matter most, and establishes the metrics needed to demonstrate progress. He also discusses how companies can align people, technology, and partners to build enterprise capabilities that advance precision, efficiency, and innovation.
Artificial intelligence is creating new opportunities to improve clinical development, but successful adoption requires more than choosing the latest model or launching isolated pilots. Krishna Cheriath, vice president and head of digital and AI for biopharma services at Thermo Fisher Scientific, sits down with Srivatsan Nagaraja to discuss what it takes to translate AI’s promise into measurable business and patient impact, why companies should focus on a small number of strategic imperatives, and his practical approach for prioritizing high-value use cases.
Chris Colucci, vice president of information technology at Insmed, sits down with Nagaraja Srivatsan to discuss the company’s shift from AI experimentation to enterprise-scale adoption, using the patient as its North Star guiding decisions across the drug development value chain. He outlines the evolution of Insmed’s AI journey and explains how the company now evaluates opportunities through clear lenses of game-changing impact, productivity gains, and automation. Colucci also discusses what it takes to operationalize AI in an emerging biotech, the practical steps Insmed has taken to scale AI across the value chain, and how anchoring decisions to the goal of getting therapies to patients faster helps prioritize where AI can be most transformative.
Vikram Nair, chief information officer of Amneal Pharmaceuticals, joins Srivatsan Nagaraja to break down what it really takes to turn AI from boardroom buzz into real business impact. From early missteps and skeptical stakeholders to building smarter metrics, Nair shares lessons from the front lines of AI transformation—and introduces a practical control framework to help life sciences companies scale AI, manage risk, and evolve without losing control.
Dennis Salotti, executive director and head of clinical outsourcing and innovation at Jazz Pharmaceuticals, joins Srivatsan Nagaraja to talk about what AI really looks like in day-to-inside a drug company. He explains how large language models and agentic tools can streamline contracting, budgeting, and risk management—mundane but high-impact work that speeds studies and improves trial-site experience. Salotti shares how to design narrow, high‑ROI pilots, build AI fluency, avoid “AI slop,” and turn AI into a thinking partner rather than a shortcut, stacking small wins that remove grunt work, capture lessons learned, and elevate people from doers to critical thinkers.
Tris Pharma Chief Commercial Officer Manesh Naidu sits down with Nagaraja Srivatsan to discuss how the small but growing specialty pharma company is pursuing a deliberately incremental AI strategy, focusing on its biggest pain points rather than chasing grand, enterprise-wide transformations. He explains how the team is using off-the-shelf and vendor tools where possible, rigorously managing data and compliance risk, and letting quick wins in discrete use cases pave the way for broader change. Naidu discusses what practical AI adoption looks like for Tris, how the company is applying the technology to high-value commercial challenges, and how it is reinventing sales training through virtual physician simulations.
The Life Sciences D’n’A podcast is hosted by AI and data analytics experts and pharma industry veterans Nagaraja Srivatsan and Amar Drawid. They explore the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.
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