Joshua Steier

Joshua Steier is a technical analyst at the RAND Corporation, focused on machine learning and modeling and simulation. He recently won an innovation award for investigating distributional shifts. He holds an M.S. degree in Applied Mathematics and Statistics from Stony Brook University.

Talks:

20:30 UTC

Julia through the lens of Policy Analysis: Applications

07/26/2023, 8:30 PM — 9:00 PM UTC
32-123

Standard use cases for Julia appeal to the scientific community writ large. In contrast, Julia has not been widely adopted the public policy community. This talk is meant to demonstrate how Julia is useful for public policy through several use cases. These use cases are: Misinformation and Adversarial Machine Learning in decision critical systems

Platinum sponsors

JuliaHub

Gold sponsors

ASML

Silver sponsors

Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

Bronze sponsors

Jolin.ioBeacon Biosignals

Academic partners

NAWA

Local partners

Postmates

Fiscal Sponsor

NumFOCUS