Rob Segan is a global health and innovation specialist focused on using technology and data to improve dollars to results. He has more than 12 years of experience working in international development and in emerging markets, and he has worked on more than a $1B in winning proposals for a range of public and private sector clients including USAID, DFID, CDC, and DFAT. He has experience in managing a global team and leading trainings on Moneyball for development in Asia, Africa, and North America.

As Senior Technical Advisor, Rob leads QED’s Innovation team which works to translate new technologies and resources into greater efficiencies in international development. In this role, he drives the development of evaluation metrics and works to uncover new advances in private sector data for decision-making tools can be applied to development. The Innovation team is part of QED’s larger Global Health Solutions team with a presence in more than 15 countries.

Jiahao Xu is the global health solutions and data visualization specialist at QED. Jiahao has a bachelor’s degree in statistics from Hong Kong University of Science and Technology, and a master’s degree in data science from Georgetown University. He is a Python and R programmer who is passionate about data science, data visualization and machine learning. He was an engineer intern at Micron Technology and a teaching assistant at Georgetown University


QED provides deep expertise in data systems to help access information, analyze these to provide insights to improve performance, manage results, and help determine ‘return on investment’ (ROI) to help decision makers adapt and pivot based on ‘what works and what doesn’t.’ In doing this, QED uses holistic and system-based approaches and state-of-the-art technology.

QED works with local and global partners to effectively implement their programs and adapt to change. Its collaborative partnerships with private sector firms, local organizations, as well as Joint Ventures with small businesses help maximize resources while driving better results for sustainable change.

  • 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.