

Susie Stephens, PhD, is a technology and R&D strategy leader with more than two decades of experience at the intersection of science, data, technology, and innovation in the pharmaceutical industry. She has led technology and informatics strategy across global biopharma organizations, helping translate emerging technologies into meaningful R&D capabilities and align technology investment with strategic priorities. Her experience spans scientific research, technology strategy, product development, and digital transformation, with a particular focus on realizing measurable value from technology and AI investments. Susie is a recognized thought leader and frequent speaker on R&D technology, data, analytics, AI, and the evolving Lab of the Future. She holds a PhD in Physiology, completed postdoctoral research in Molecular Biology, and is an alumna of Harvard Business School.


I am a digital and tech senior leader with purpose, presence and agility. I bring a track record of successful digital strategy development and value delivery at scale, with extensive experience in broadening impact, building connections, and developing organizations. I am known as a collaborative partner and engaging communicator with contagious positive energy. My superpower is connecting with people and building a culture where individuals come together and shine. My multi-year global work assignments in China and the UK give me a unique perspective to relate to the international teams I lead. My purpose to positively impact human lives carries through into my work as a foster parent in our community and my seat on the board of a non-profit.
My organization is driving a digital revolution of the next-generation of labs and plants for Sanofi scientists. Our teams deliver digital products and services that enable robust and effective lab and plant operations, while capturing trusted AI-ready data.
Our scope includes instrument connectivity, data automation, experiment and results capture, laboratory workflow solutions, as well as digital manufacturing solutions. We enable all of Sanofi’s R&D labs, across research, pre-clinical and CMC, spanning all pharma modalities and vaccines. We are also driving digital transformation in the manufacturing environment for CMC pilot plants and enable launch excellence in digital technical transfer to commercial scale manufacture.




Experienced professional of antibody engineering, multi-specific Biologics modeling and design. My arsenal for bio-therapeutic engineering and design includes structural informatics, molecular dynamics simulation, function-driven rational design, and more importantly, their combination with power of data analysis. My goal is to design First-in-class and Best-in-class Biologics from de novo, which can truly empower patients’ lives.

Ph.D. trained molecular biologist; Internationally recognized scientist; Ph.D. jointly awarded between USA & Oxford, UK in biomedical sciences focused on neurodegenerative disorders and pharmacology. Over 27 years of clinical-based rare diseases, and antibody research experience, leading international and national collaborative clinical and scientific research teams. Pioneered the development of the first Next-Generation Sequencing Core Facility for the National Institutes of Child Health and Human Development. Led multiple biomarker discoveries across four different metabolic syndromes. Ran high-throughput drug screens and validations in vivo which have led to clinical trials. Extensive li ne management, mentorship, and leadership experience within teams. Scientific research has resulted in 80+ peer-reviewed publications and one book chapter, spanning multiple fields from rare metabolic diseases, drug screening, and validation to cancer research. Well-versed in cutting-edge technology with the ability to synergize multiple large data sets to formulate actionable therapeutic interventions. Passionate about driving innovative solutions to complex problems in real-time. Recipient of multiple research excellence awards and research funding.


Director leading a >50-person global Research Informatics organization (North America, Europe, India) at Amgen BC. Expanded scope beyond Technology leadership to cross-department portfolio governance, CAPEX/OPEX budget management, and strategic roadmap development across Research Technology. Also served as Interim Chief of Staff to the VP of Research. Driving large-scale programs spanning lab automation, AI-enabled data systems, and global Research site modernization across 6 sites.







Shruti Vij is the Director of Innovation and AI Strategy at RDU IT, leading the shift from incremental optimization to horizon oriented solutions and embedding innovation as a strategic capability to shape the enterprise roadmap. Partnering across science, technology, and the business, she designs and scales AI enabled platforms and operating models that accelerate discovery, risk decision making, and unlock new value at both portfolio and program levels while preparing organizations for what’s next.
She brings a cross functional trajectory spanning engineering, imaging, product strategy, and applied data science across the value chain. Previously, she developed clinical decision support and digital health solutions at Philips Healthcare, applied product strategy to AI driven solutions at PerigonAI and led data science for cell therapy process development at Takeda. Her rigorous academic foundation and hands on clinical translational research coupled with business acumen shaped by growing up in a family owned enterprise equip her to lead change with a distinctive, outcomes focused perspective.

Steven Winig is the Executive Director of Technology and User Services (TUS) at Novartis Biomedical Research. The TUS organization enables 5,300 researchers across multiple international campuses. Before joining Novartis, Steven held senior IT leadership roles at the Massachusetts Institute of Technology, served as a Principal at American Management Systems, Inc., and was a Director at Computer-Ed, Inc. He holds a BS in Computer Science from The Johns Hopkins University and lives by the mantra that relationships matter. Known as the resource of last resort, Steve is often called upon to tackle the most nuanced challenges. Interestingly, his college advisor stating that AI will be the future has proven to be prophetic, albeit a few decades early.

I’m a technology-driven product leader with deep expertise in AI, informatics, and digital solutions for life sciences R&D. With a strong foundation in chemistry, biology, and neuroscience, I’ve built my career at the intersection of science and technology—moving from bench research to product management, marketing, sales, and IT leadership. I believe software product management is a career, not just a role on a Scrum team. Success in this space requires a blend of strategic vision, technical fluency, and customer empathy. The skills I’ve developed—bridging science, technology, and business—are not only critical in life sciences but also highly transferable across industries. My focus remains on leveraging AI and digital innovation to drive meaningful impact in complex, data-driven environments.


Mohit Goel is a visionary technology leader transforming biopharma, life sciences, and laboratory automation through AI, robotics, and intelligent systems. With deep expertise in systems engineering, software architecture, and autonomous technologies, he is shaping the Lab of the Future, where AI-driven automation accelerates scientific discovery and biomanufacturing at scale.
As the Head of Systems Integration at Moderna, Mohit leads enterprise-wide technology innovation, building next-generation automation platforms that seamlessly integrate AI, robotics, and digital ecosystems to optimize laboratory and manufacturing operations worldwide.
A key driver of global biotech innovation, Mohit serves on the Executive Committee for multiple SLAS tracks, influencing automation, AI, and robotics adoption across life sciences. He is also a Senior Member of ISA and an active member of IEEE, IEEE RAS, IEEE EMBS, and ISPE, shaping the future of biotech at the intersection of AI and advanced automation. Passionate about bridging technology and science, Mohit is building the intelligent, connected, and scalable laboratory ecosystems that will define the next era of biotech innovation.

Four industry groups are writing CMC data standards. Sponsors and CDMOs are still negotiating the structure of their data, and how it moves, one partnership at a time. This panel is about the gap between those two facts. We’ll discuss perspectives of sponsors who run outsourced networks, CDMOs that receive transfers from many sponsors, advanced-modality process leads, and people writing the standards. The challenges we’re after: accomplishing the data mapping, what a standard built around a monoclonal antibody has in common with another for an autologous product, and how regulators or procurement approach the issue before AI makes it moot.