Dustin Lamblin

Dustin Lamblin is a Senior Data Scientist and Quant Researcher at Glassnode, responsible for developing the Bitcoin Sharpe Signal, which leverages machine learning on on-chain data to inform trading strategies. As a Visiting Lecturer in Machine Learning at Polytech Nice Sophia, Dustin teaches a course focused on applying machine learning to financial contexts. Previously, Dustin served as a Quant Data Scientist and Fund Manager at Lehner Investments, utilizing machine learning for cryptocurrency selection and portfolio construction. Experience also includes roles as a Fund Manager and Risk Manager at Indosuez Wealth Management, where Dustin launched and managed the Indosuez Tactical Index fund while overseeing derivative strategies for a pension fund. Educational qualifications include a specialized master’s in financial market and risk management from ENSAE Paris and a master’s degree in applied mathematics from Polytech Nice Sophia. Additionally, Dustin participated in an exchange program at Western University, focusing on financial modeling and actuarial sciences.