FLOREY STREET ADVISORS
ABOUT US
Brad Dillman, CAIA, FRM, RAI is one of few real estate investment strategists and economists who combines advanced data science skills, domain expertise, and a proven research track record.
Over his nearly twenty-year career, Brad has designed, built, and operated numerous multi- and single-family forecasting and analytical systems for such groups as Cortland, RPM Living, PulteGroup, and CoStar Portfolio Strategy. His technical approaches have advanced in step with technology, growing data availability and have embodied the tacit knowledge gained from debt-side experience and in-house research leadership positions.
Brad earned his BA with Honors from the University of Washington and MSc from the London School of Economics. He holds the Chartered Alternative Investment Analyst (CAIA), Financial Risk Manager (FRM), and Risk and Artificial Intelligence (RAI) designations, as well as several certificates from the MIT Center for Real Estate. His commentary on housing, the economy, and credit have appeared in various mainstream and industry-specific media outlets over the past decade.
Today, he leads Florey Street Advisors, where we combine data and the human touch to curate an expert market view. We analyze markets and codify our conclusions. The power of Artificial Intelligence connects you to our answers - all you need to do is ask the question.
OUR PHILOSOPHY
Domain Expert
Data Scientist
Time
At Florey Street Advisors, we believe that deep and consistent application of data and human expertise can take strategic research to new levels. We see the unification of the domain expert and the data scientist as an inevitable outcome of technological advancement and skill proliferation.
For us, data are not just bits of information to be catalogued, graphed, and ignored; they are the symbols of a story that needs to be interpreted. But increasing data required a new language in order to emerge from its anonymous character, constrained to the world of dashboards and numerical vectors, or the inconsistent treatment of one-off analyses.
In our view, artificial intelligence is this new language, from which emerges a new integration of data and human expertise. This new epoch is not about mere observation and more data points. Nor is it about the outsourcing of analysis to a mysterious algorithm. Instead, it is the enhancement of the specialist. We look to a world where the human employs grand theory, system design, quantitative model specification and model governance. We see a world where human experts use quantitative and analytical models to write a poetry that is sung through the words, sentences, and images of artificial intelligence.
Today's real estate researcher must combine domain and technical expertise to build bridges to complex views. These skills prove and enhance one another. Between the data and the calculation, between the prompt and the artificial intelligence response, stands the human; a human expert that can be scaled and accessed through the power of large language models.