newmark.ai

we are a group of pioneering and autonomous data scientists working at newmark to deeply understand and revolutionize the field of commercial real estate. we build models, algorithms, and proofs of concept from scratch that enable real-world business use cases. we aim to inspire colleagues with the power of data science and the innovations it enables. team members are:

  • mike andrews, founder and head of newmark's data science, phd in physics from mit (1998)
  • interested in building a platform for enabling data scientists of all types to be successful
  • broad experience as a scientist, technologist, academic, and entrepreneur, covering bell labs, wireless, software development, quant finance, trading, portfolio management, advertising, statistics, modelling, machine learning, algorithms, artificial intelligence, e-commerce, fraud-fighting, marketing, blockchain, recruiting and human resources, commercial real estate, leadership, et cetera
  • lona yu, data scientist, masters degree in financial mathematics
  • statistical, stochastic and machine learning techniques in algorithmic trading and commercial real estate
  • interested in data aggregation and model development for use in commercial real estate and capital markets
  • golnush amoli, director of data science, phd in transportation engineering and operations research from umd (2017)
  • data scientist with a demonstrated history of working with machine learning, deep learning and optimization techniques across transportation, commercial banking, online lending, and commercial real estate industries
  • interested in predictive analytics and solving business problems with actionable insights from data
  • sudhakar chelikani, director of data science, phd in physics from yale university (2001)
  • well-versed in statistical and stochastic modeling, including machine learning, pattern recognition, and bayesian methods
  • interested in model development for use in commercial real estate appraisals, financial risk assessment, fixed income analysis, and algorithmic trading