Joe Pacheco

Joe earned his B.S. (2000), M.Eng. (2000), and PhD (2004) degrees all in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT). During his time as a research assistant in the Research Laboratory of Electronics at MIT, he worked in the areas of computational electromagnetics, metamaterials, antenna design, synthetic aperture radar imaging, and space-time adaptive processing.

From 2004 to 2013, he was a member of the Technical Staff in the Advanced Capabilities and Systems group at MIT Lincoln Laboratory where he led the development of several novel sensor technologies for tactical situation awareness. His contributions spanned all phases of the development from system analysis to simulation and modeling to implementation. He also led several test campaigns where he coordinated the efforts of multiple teams from MIT Lincoln Laboratory as well as government and industry partners. Several of the technologies he developed were successfully deployed and officially recognized as significant contributions by the corresponding government partners.

In 2014, he co-founded Netra Health LLC, a company dedicated to developing data analytics-based solutions for health and well-being applications. The company was founded by a team of physicians, scientists, engineers, and business strategists to leverage advancing mobile and wearable technology to fulfill unmet needs in an evolving healthcare system. Currently, he is leading several efforts related to the use of data analytics to increase the independence and well-being of individuals with chronic diseases.

Since 2016, he has worked with Teranalytics as a consultant leveraging his experience in translating state-of-the-art AI and machine learning approaches to help corporations across a variety of industries such as retail, pharma, healthcare, IT, and service optimize their operations and business decisions. Within those industries, applications have included forecasting, ROI estimation, revenue management, customer segmentation, and predictive estimation.