Mission

The Internet is a once every millenium game changer, completely altering the way the world works. As every little click or query is stored in some database, we now live in an orgy of data. As the science of data, statistics attempts to usefully extract information from this data. I firmly believe there has never been a more exciting time to be a statistician. We are the 21st century version of Christopher Columbus sailing through an ocean of data on a quest to make new discoveries.

The Columbus metaphor is apt; even when we make a discovery, we do not always know what we have found. Statisticians are disciples of the uncertain world. Part of that uncertain world is that when immersed in a data-rich world, we are saturated with more and more noise. Finding the proverbial needle in a haystack is an increasingly difficult endeavor as we search in an ever-growing haystack. As statisticians, we do not claim to have an oracle guiding us precisely on our journey; we just have the best compass.

It is my goal to be on the cutting edge of this endeavor through my focus on developing theory and methodology in data visualization and statistical learning with large datasets to more usefully extract information from data.

Experience

  • Industry

    • Google: Engineer Analyst, Decision Support (9/2009 - currently)
    • Google: Software Engineer, Statistician Intern (5/2008 - 8/2008)
    • Independent Consulting

  • Academia

    • Taught & TA'd many introductory and advanced statistics courses
    • Research Assistant
    • Tutored Intro Stats and various Math courses

Education

Research Interests

  • Statistics

    • R Computing Language
    • Visualizing Data / Dynamics Graphics (especially with R)
    • Statistical / Machine Learning
    • Nonparametric Methods
    • Monte Carlo Methods

  • Computing

    • Compression
    • Encryption
    • Large-scale Data Problems