AI is reshaping how organizations work, faster than most can adapt; what was true two months ago may not hold today. This presentation shares how Parabilis Medicines and bPrescient are navigating that uncertainty across three fronts:
- Building change management practices flexible enough to handle constant flux without disrupting teams
- Architecting AI systems around durable principles – modularity, deterministic guardrails, human-in-the-loop oversight, and provenance – to evolve quickly without losing control
- Cultivating a culture where AI augments people rather than replacing them, freeing up capacity for higher-value work while keeping trust and collaboration central.
Alex Baumann of Parabilis will walk through the war stories, surprises, and practical lessons learned in building this approach. And we’ll make the case that change management, technical vision, and culture are inseparable: you can’t get one right without the other two.
Speaker Bio
Alex Baumann is Senior Director of Engineering at Parabilis Medicines, a clinical-stage biopharmaceutical company (formerly Fog Pharmaceuticals) applying AI and physics-based modeling to design Helicon™ therapeutics, a new class of alpha-helical peptides capable of reaching intracellular targets that conventional drugs can’t touch. Alex leads the engineering organization responsible for building and scaling the computational platform behind this work, sitting at the intersection of software engineering, data infrastructure, and drug discovery.
His path to this work runs through some of the most data-intensive corners of biomedical research. For more than eleven years, Alex held engineering and data leadership roles at the Broad Institute of MIT and Harvard, most recently as Director of Scientific Computing. Before that, he was a software developer lead at Knome, one of the earliest companies to offer personal genome sequencing and interpretation, giving him a front-row seat to the growth of computational genomics from its early days.
Alex holds a Ph.D. in Computer Science from the University of Massachusetts Lowell, where his research focused on visualization and human-computer interaction. He lives in the Boston area.
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