Karthik Rajkumar

Karthik Rajkumar is a Staff Applied Scientist at Glean and former Senior Machine Learning Engineer at LinkedIn, where they built AI-driven marketplace systems, large-scale ranking models, and causal evaluation frameworks for hiring and recommender products. Trained as an economist and statistician with a Ph.D. in Economics and Statistics and an M.S. in Statistics from Stanford University, Karthik’s research spans causal inference, computational social science, and fairness in algorithms, including work on regression discontinuity designs with manipulation, position bias in recommender systems, and measuring labor market fairness. Their interdisciplinary projects—published in venues such as Science, Harvard Business Review, and leading econometrics outlets—combine rigorous methodology with practical impact, from improving online job search and experimentation science to developing open-source tools for causal analysis.