Siddarth is a postdoctoral fellow at the Center on Regulation and Markets in the Economic Studies Program at Brookings. His research focuses on how forecasting methods can inform public policy and improve decisionmaking, as well as the impacts of artificial intelligence and machine learning algorithms on society. Specifically, he is interested in how expert judgments and statistical modeling methods can be combined and aggregated to inform policy decisions. He is also interested in the impacts of recent advances in generative models in AI and in policy tools to address various algorithmic harms.
Before starting at Brookings, Siddarth completed his Ph.D. in computer science from the University of Washington. He also has a M.S. in mathematics from Georgia Tech, and a B.S. in physics from Harvey Mudd College. Siddarth is an alumnus of the Aspen Tech Policy Hub's Tech Policy Primer program.
Siddarth is a postdoctoral fellow at the Center on Regulation and Markets in the Economic Studies Program at Brookings. His research focuses on how forecasting methods can inform public policy and improve decisionmaking, as well as the impacts of artificial intelligence and machine learning algorithms on society. Specifically, he is interested in how expert judgments and statistical modeling methods can be combined and aggregated to inform policy decisions. He is also interested in the impacts of recent advances in generative models in AI and in policy tools to address various algorithmic harms.
Before starting at Brookings, Siddarth completed his Ph.D. in computer science from the University of Washington. He also has a M.S. in mathematics from Georgia Tech, and a B.S. in physics from Harvey Mudd College. Siddarth is an alumnus of the Aspen Tech Policy Hub’s Tech Policy Primer program.