A not for profit, education and credentialing organization, focused on building workforce capability in Life Sciences digital manufacturing.
To support an ecosystem of likeminded individuals and companies with a desire to see the industry improve as a whole and who can share needs and inform the strategy of the organization, solving a problem (workforce development and capability building) too big for any one company or partner to solve alone.
There are currently thirteen Pharma/BioPharma companies represented.
The advisory board was formed in 2017 and has met every 2-3 months since then with a quarter-to-quarter focus. The purpose of the IAAE® is to mobilize humanity towards a new economy with the vision of equipping the workforce (as well as students and job-seekers) to innovate the future of digital manufacturing in the Life Sciences.
We would ask for your virtual attendance (between 1-2 hours) at five meetings in the year, with one optional in-person meeting.
We would also ask for your participation (2-3 hours between March and May on a sub-committee of your choosing.
IAAE seeks to credential 10,000 learners globally, and to engage 10 of the top 20 companies in each regulated health industry, by the end of 2035.
Current IAAE Life Sciences Advisory Board logos shown
Our Life Sciences Advisory Board, plays a crucial role in guiding IAAE's work. The board identifies key capabilities required to support digital manufacturing objectives and collaborates on several initiatives each through subgroups. Their industry expertise ensures that our educational offerings remain aligned with the needs of medical product and device manufacturers, and informed by the trends they are experiencing, with the outcome of ultimately helping them navigate the challenges posed by evolving technologies and regulatory requirements.
Adam currently works as Sr. Manager of Engineering, Maintenance, and Automation at Amgen Ohio in New Albany, O
Experienced engineering director with over 20 years in the Pharmaceutical and Medical Device industry, delivering high quality, reliable, and technical solutions.
Dan is a senior digital leader and Process Analytical Technology (PAT) expert with extensive experience developing and executing global digital transformation strategies, within and across CMC and R&D organizations. Passionate about enabling seamless operations and high productivity through digital application and employee up-skilling.
Daniel has several decades of expertise in the pharmaceutical industry, focusing on product and process lifecycle, manufacturing science, data science, and analytics. He is passionate about applying AI and machine learning across all pharmaceutical domains.
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