Chris Conlan began his career as an independent data scientist specializing in trading algorithms. He attended the University of Virginia where he completed his undergraduate statistics coursework in three semesters while running his own business full time. During his time at UVA, he secured initial fundraising for a privately held high-frequency forex group as president and chief trading strategist. He is currently in Bethesda, MD managing the development of private technology companies in high-frequency forex, machine vision, and dynamic reporting.
Within the world of data science and finance, few professionals have the technical skill and the entrepreneurial zeal of Chris Conlan. From his undergraduate expertise at the University of Virginia, where he holds a high grade point average in statistics, to his consulting on behalf of various customized trading platforms – from his union of theory and practice, between his academic honors and his professional accomplishments, Chris applies his knowledge to specific projects that optimize analytic and economic performance.
Chris Conlan’s fluency with a diversity of languages and networks enables him to transform the way people develop and use trading applications, helping them avoid costly intermediaries and tighten control over their capital.
This accomplishment is a testament to Chris’s ability to revolutionize the Web on behalf of investors of all interests, giving them the means to trade with speed, security, and control.