Michael Weinberger, a physics PhD with extensive experience in model development and quantitative research, has a diverse background in machine learning, backtesting and analytical analysis of vast data sets. Having attained a Secret Security Clearance, he excels in optimizing complex quantitative models and is adept in programming languages like Python, C++, Matlab, and MySQL. Dr. Weinberger is widely respected for his proficiency in both Linux/Unix/OS X, and Windows environments.

Dr. Weinberger has studied both Bachelor of Science in Physics at the University of Michigan and Doctor of Philosophy in Physics, Philosophy at Cornell University. Additionally, he has conducted Postdoctoral research at Texas A&M University. Furthermore, Dr. Weinberger has been a key member of several prominent organizations, serving as the Lead Data Scientist at Cityzenith and consulting for Veracity Forecasting and Analysis, here, and Sears Home Services.

In his professional roles, Dr. Weinberger has leveraged machine learning practices to construct valuable insights from vast data sets for better business forecasting. He has demonstrated a proficiency for leveraging Monte-Carlo simulations and back-testing to optimize complex quantitative models. Dr. Weinberger's invaluable quantitative models and analysis expertise have made him a sought after expert in the analytics industry.