256: Is Bioprocess Education Keeping Up With New Tech? The Training Gap Industry Cannot Afford to Ignore with Steffen Kreye - Part 2
The "data lake" that was supposed to unify bioprocessing intelligence has, in most companies, become something else entirely: a data swamp, where information goes in and insight rarely comes back out. For anyone trying to deploy AI in GMP manufacturing, that is not a technical problem. It is the problem. Steffen Kreye has seen it from both sides. As former upstream development lead at Bayer and now Professor of Industrial Biotechnology at Berliner Hochschule für Technik, he brings an unusually grounded perspective on where AI in bioprocessing actually stands, what the next generation of scientists needs to be equipped with, and what industry can do right now to help close the gap. Key topics discussed: How soft skills like teamwork and self-motivation are becoming increasingly important for scientists, and strategies to foster them in education (02:47) The reality behind AI and machine learning in biotech today, including current limitations and the true state of industry adoption (05:48) Envisioning bioprocessing ten years from now: the potential of continuous manufacturing, digital twins, and automation, and the evolving diversity of bioprocesses (08:09) Practical ways industry professionals can support university education—from guest lectures to hands-on lab courses—and why it matters (10:09) Motivating students by connecting coursework to real industry roles and contributions (12:10) The importance of finding and following individual motivation in science careers (12:41) Reflections on moving from industry to academia: autonomy, challenges, and the satisfaction of seeing students grow into scientists (13:22) How strong collaboration between academia and industry leads to better innovation and prepares future scientists for success (15:53) Smart Insight: Most companies talking about AI in bioprocessing are still solving a more fundamental problem: getting their data into a state where AI could use it at all. The breakthrough will not come from the algorithm. It will come from the unglamorous, years-long work of making data accessible, harmonized, and meaningful across sites, systems, and GMP boundaries. Here are some other guests who touched on similar themes: Episodes 175 – 176 : How Virtual Reality Training Solves Europe's Bioproduction Talent Shortage with Sandrine Lemoine — about training the next generation of biopharma talent. Episodes 93 – 94: From Lab Coat to LinkedIn: Benjamin McLeod's Journey to Cell and Gene Therapy Influencer — another career pivot story from a scientist who stepped outside the traditional industry path. Episodes 111 – 112: AI Meets Biology: Why Domain Expertise Still Rules in the Age of Large Language Models with Lars Brandén — very aligned with Steffen's nuanced take that AI is a tool but human expertise in bioprocessing still matters. Connect with Steffen Kreye: LinkedIn: www.linkedin.com/in/steffen-kreye-3b531183/ Berliner Hochschule für Technik: www.prof.bht-berlin.de/kreye Next Step: If you enjoyed this episode, please leave a review on Apple Podcasts or your favorite podcast platform. By doing so, we can empower more scientists like you. Stay tuned for more inspiring biotech insights in our next episode. Support the show