Empowering the largest knowledge workforce on Earth.
As CEO, Nathan Eagle brings many years experience understanding mobile phone usage to his position leading txteagle. He is a former Research Scientist at the Massachusetts Institute of Technology and an Omidyar Fellow at the Santa Fe Institute. His academic research involved applying machine learning and network analysis techniques to large human behavioral datasets generated by mobile phones.
As a Fulbright Scholar in 2006, he launched MIT's EPROM (Entrepreneurial Programming and Research on Mobiles) initiative while teaching at universities in Kenya and Ethiopia, and developing a mobile phone programming curriculum that has been adopted by twelve Computer Science departments across Africa.
In 2008, Nokia named Nathan one of the top mobile phone developers in the world. In 2009, the MIT Technology Review magazine named him one of the ‘top 35 innovators under 35 who will create the future by transforming existing industries and establishing new ones.’ He and Ben Olding formed txteagle with the goal of enabling the 2 billion mobile phone subscribers living in the developing world to earn money using their phones.
Nathan graduated from Stanford University with a B.S. in Mechanical Engineering, a master’s degree in Management Science and Engineering, and a master’s in Electrical Engineering. His Ph.D. from the MIT Media Laboratory on Reality Mining was declared one of the '10 technologies most likely to change the way we live' by Technology Review.
Often sought after for his expert commentary, Nathan has been interviewed by media outlets such as the BBC, New York Times, Wall Street Journal, BusinessWeek and CNN.
Ben Olding leads the txteagle technical team. He is responsible for the inference procedures that let txteagle guarantee the accuracy of task results for its customers.
Ben graduated from Harvard with a Ph.D. in Statistics in 2008. His research and thesis focused on approximate inference, the science of making decisions in the context of overwhelming amounts of data and limited computational resources.
Ben graduated from Stanford University in 2000 with a B.S. in Physics (with honors, with distinction), a B.A. in International Relations (with distinction) and a M.S. in Electrical Engineering.
After attending Stanford, he worked in Silicon Valley as an engineer, receiving five patents for innovations related to the mathematics behind image processing algorithms. From 2008 to early 2009, he was a Postdoctoral Research Fellow at Harvard's School of Engineering and UC Berkeley's Department of Statistics.