SPEAKER :

Dan Henebery of Hala Systems, Inc. is a local data scientist fascinated by cities, infrastructure, public policy, and economics.

COMPANY:

Hala Systems develops advanced solutions for civilian and asset protection, accountability, and the prevention of violence before, during, and after conflict. Through the development and implementation of innovative technology, Hala aims to reduce harm, increase security, and stabilize communities. According to a preliminary analysis, Hala’s technology solutions resulted in an estimated 20-27% reduction in casualty rates in several areas under heavy bombardment in 2018.

  • Linguistic Diversity Around The World
    One Text / Two Languages

    This workshop covered how linguists gather, process and analyze code-switched data, exploring the NPL pipeline for processing multilingual texts and discussing various approaches to language identification.

  • Analytics student Ratnadeep Mitra stands in front of his poster next to program director Dr. Ami Gates.
    Analytics Student Showcase

    MS Analytics students showcased what they learned this semester by applying contemporary deep learning techniques to a variety of exciting topics and problems.

  • Neural attention model
    Commonsense Reasoning without Commonsense Knowledge

    Reading comprehension tasks measure the ability to answer questions that require inference from a free text story. This talk explores two machine learning approaches.

  • MS Analytics Students Selected as Finalists in Adobe Analytics Challenge
    MS Analytics Students Win Third Place in Adobe Analytics Challenge

    Shengye Hang, Ju Huang, and Tianyi Yang represented Georgetown as Team "Don't Stop Bayesian" at the 2018 Adobe Analytics Challenge.