I am a Research and Data Scientist in McKinsey & Company’s Organizational Science and Analytics team. I study and advise clients on a wide array of topics surrounding talent and organizational issues, for example: how to drive effective and long-lasting behavior change, how to scale talent and organizational structures during high growth stages, drivers of the pandemic-induced labor shortage, and many others.

In addition, I use supervised and non-supervised machine learning, natural language processing, and econometric methods, to advise clients on these topics.

Prior to joining McKinsey & Company I completed a Ph.D. in Behavioral Economics at Carnegie Mellon University, where I worked primarily with my advisor Alex Imas. I worked on topics in behavioral finance, such as studying the drivers of investor biases, and motivation, such as goal-setting as well as other non-financial and financial incentives.