Dan translates the factors driving each real estate market into a optimized portfolio.  He is responsible for evaluation of the performance and risk of our investment portfolios.

Dan views the world through a lens of likelihoods and risk assessments. From a math degree with a machine learning thesis, to years at data companies, he learned the importance of building a robust data platform.  Over nearly two decades as a quant in the securities industry, he built models and data systems to explain and predict the movements and risks of a variety of different asset classes as each one trends towards more liquidity, more automation, and more well understood factors. 

Most recently, Dan spent 6 years as an equity market neutral portfolio manager. Dan has a bachelor’s degree in Mathematics from Harvard.