Bradley P. Allen

	I'm a retired technology executive and serial entrepreneur who is currently a doctoral candidate in the University of Amsterdam's Intelligent Data Engineering Lab. Previously, I was Chief Architect at Elsevier, and before that, founder/CTO at three startups in the Los Angeles area, achieving successful exits in two of the three. I began my career during the 1980s as one of the first knowledge engineers of the expert systems era, after earning a BS in Applied Mathematics at Carnegie Mellon University.
	At INDE Lab my career comes full circle in an attempt to answer the question: what is knowledge engineering in an era of large language models? My research suggests that LLMs could transform knowledge engineering by "flipping the script" of formal semantics. Using natural language to specify meaning in formal languages, we can build neurosymbolic systems that leverage LLMs' parametric knowledge without sacrificing logical rigor.
	A major part of my commercial work was as an architect of data platforms for business transformation. In this presentation to the Harvard Data Science Initiative on 15 September 2020, I discuss data science in practice at Elsevier, detailing how data science transformed our approach to scientific content and led to the delivery of new products to Elsevier's customers.
	I am at other times an amateur astronomer, a mountaineer, and a home cook. Of late, there's been a bit more of the third of these activities than the other two. Here I am unmolding my version of a timpano, inspired (as so many others) by the one featured in Stanley Tucci's film "Big Night".