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Professor, Graduate School of Business, Stanford University
#causalinference #econometrics #researchandpublications
#NorthAmerica
Guido Imbens is The Applied Econometrics Professor at the Stanford Graduate School of Business and Professor of Economics in the Economics Department at Stanford University. Currently he is also the A
Adjunct Professor
#algotrading #priceimpact #causalinference #quantitativetrading #marketmicrostructure
With a deep passion for data analysis and a profound appreciation for the power of quantitative methods to uncover insights in finance, I am devoted to unlocking the potential of mathematical tools to
Senior Data Scientist
#data #datascience #causalinference #machinelearning #recommendersystems
#Northamerica
Rohan Singh Rajput is a distinguished leader in the field of personalization, currently serving as the Personalization Domain Lead at Headspace. With over eight years of experience in analytics, data
Lead Data Scientist, Computational Agronomy, North America
#datascience #causalinference #interpretableml #behavioraleconomics #environmentalsustainability
Serg Masis is a Data Scientist in agriculture with a lengthy background in entrepreneurship and web and mobile development, and the author of the bestselling book “Interpretable Machine Learning with
Engineering Leadership - Applied Machine Learning
#leadership #visualization #causalinference #machinelearning #recommendersystems
Sudeep Das is a Machine Learning and Artificial Intelligence Engineering Leader. He is a technology leader with expertise in natural language processing, recommender systems, and information retrieval