Aravind Srinivasan: Probabilistic Methods in Computer Science, Data Science, and Public Health

Submitted by Tony I Garcia on

The Department of Applied Mathematics is pleased to host this series of colloquium lectures, funded in part by a generous gift from the Boeing Company. This series will bring to campus prominent applied mathematicians from around the world.

Name: Aravind Srinivasan (University of Maryland)

Date: April 14th, 2022

Location: Smith 205

Probabilistic Methods in Computer Science, Data Science, and Public Health

Abstract: Probabilistic methods---randomized algorithms as well as the stochastic modeling of inputs to a problem---play a fundamental role in computer science and data science. We will discuss some of their foundational aspects, along with key applications in public health and in the Internet economy. We will cover aspects including the Lovasz Local Lemma, data science in E-commerce and Internet advertising, fairness in AI, and probabilistic methods in the control of infectious diseases. The talk will be accessible to a broad mathematical/computer-science audience.

Youtube: Watch the talk online here.