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Wise.io was founded in 2012 by some of the world’s leading experts in astrophysics, statistics, computer science, and machine learning. Working together for over a decade, the team created automated machine-learning frameworks that were used to discover and understand some of the rarest phenomena in the universe, from peculiar stars to exploding white dwarfs. After watching the business world struggle with many of the same challenges they faced, they launched the company to bridge the machine intelligence divide.  In 2013 the company added business executives who built innovative and disruptive businesses that brought advanced analytics to the enterprise software market.  Today, we are continuing to push the limits of cutting edge machine learning technology while delivering its power via an elegantly simple package.

  • Jeff Erhardt, CEO & Director

    Jeff Erhardt, CEO & Director

    As CEO, Jeff is responsible for the defining and implementing the strategic direction of Wise.io. Jeff has more than 15 years building and running data-driven organizations. He began his career as a technologist at Advanced Micro Devices, where he founded and ran one of that industry’s first organizations to use large-scale data and advanced analytics to systematically drive new technology development and manufacturing. Most recently, Jeff was COO at Revolution Analytics, where he built the company into the leading disruptive provider of Big Data advanced analytics. Jeff holds more than 30 patents, an engineering degree from Cornell, and an MBA from the Wharton School.

  • Joshua Bloom, CTO, Chairman & Founder

    Joshua Bloom, CTO, Chairman & Founder

    As CTO, Josh is responsible for establishing, driving, and communicating the overall technical direction for Wise.io. He is a self-described “data-driven scientist” who leveraged the power of machine learning to enable landmark astronomy discoveries. He is a professor at the University of California, Berkeley where he teaches astrophysics and Python for data science. Josh has been a Sloan Fellow, Junior Fellow at the Harvard Society, and Hertz Foundation Fellow. He has published over 250 journal articles, and in 2010, was awarded the Pierce Prize from the American Astronomical Society. Josh holds a PhD from Caltech and degrees from Harvard and Cambridge. He serves on the Berkeley Startup Cluster Advisory Committee and is an active mentor and guest lecturer at the Haas School of Business.

  • Joey Richards, Chief Data Scientist & Founder

    Joey Richards, Chief Data Scientist & Founder

    As the leader of our data science team, Joey is responsible for defining and implementing the Wise.io’s machine learning applications. He has developed sophisticated statistical and machine learning methodologies to analyze large collections of sparse, noisy, and multi-dimensional time-series data, techniques to perform regression and classification in high-dimensional feature spaces, and methods to perform accurate inference in complex, non-linear physical models. Joey was a Fulbright Scholar and a postdoctoral researcher in the Statistics and Astronomy departments at UC Berkeley; he holds a PhD in Statistics from Carnegie Mellon University.

  • Henrik Brink, Lead Engineer & Founder

    Henrik Brink, Lead Engineer & Founder

    Henrik leads the engineering activities of Wise.io’s integrated technology platform. He has a deep background designing and implementing large-scale distributed software systems and previously founded and managed a business focused on scalable backend systems and modern web technologies. Henrik holds a Physics degree from University of Copenhagen and has worked as a researcher and data scientist at UC Berkeley. He is a published author of work at the intersection of software development and machine learning on real-world data.

  • Damian Eads, Director of Engineering & Founder

    Damian Eads, Director of Engineering & Founder

    Damian is the architect and creator of Wise.io’s core machine learning technologies. He previously spent a decade at Los Alamos National Laboratory solving real-world problems with machine learning, and was honored with numerous government competitions, awards, and grants. He is the author of multiple popular open-source packages for scientific computing, and considers Python, UNIX, Go, and C++ template meta-programming the choice tools of his trade. Damian was a postdoctoral scholar at the University of Cambridge's Machine Intelligence Laboratory where he developed real-time 3D object categorization algorithms and Augmented Reality systems. He earned a PhD in Computer Science from UC Santa Cruz where he developed new boosting algorithms for object detection.

  • Dan Starr, Lead Data Scientist & Founder

    Dan Starr, Lead Data Scientist & Founder

    As Wise.io’s Lead Data Scientist, Dan is responsible for transforming the power of the Wise.io technology into actionable insights for our customers. He has held multiple roles combining astronomy with computer science and statistics in order to develop parallelized machine learning and analytics software. With degrees in physics and astronomy, he has co-authored over 70 publications, was on the research staff at UC Berkeley for 6 years, the primary developer at Berkeley's Center for Time-Domain Informatics and has worked at Los Alamos National Laboratory, Harvard-Smithsonian Center for Astrophysics, and Gemini Observatory. Dan's interests are in research, development and application of statistical and ML algorithms to large scale, streaming datasets using parallel frameworks and innovative storage engines.

  • Curtis Feeny

    Curtis Feeny, Director

    Curtis Feeny has invested in enterprise software, data center systems, wireless infrastructure and Smart Grid technologies. He also has expertise in SaaS, open source, and capital efficient software companies. Curtis has served on 14 boards, both public and private, and has been a managing director at Voyager Capital since 2000, when he opened the Silicon Valley office. Since 2000, he was on the board of Trammell Crow Company (TCC:NYSE), which was purchased by CB Richard Ellis (CBG:NYSE) in 2006, and has remained on the board since. In 2006, Curtis was also appointed by President George W. Bush to be a Trustee of the Presidio Trust. Curtis represents Voyager on the boards of AutoGridAyla NetworksClearCareSensysVidder and Wise.io.

    Before joining Voyager, Curtis was the first Executive Vice President of the newly formed Stanford Management Company, helping oversee the University’s endowment from 1992 to 2000, when assets under management grew from $1.5 billion to $9 billion. He was responsible for investing and managing real estate and other asset classes including private equity and venture capital. Before joining Stanford, Curtis was managing partner for Trammell Crow in Seattle, with $700 million of assets under management. Previously, he worked in energy R&D and the semiconductor industry. Curtis has an MBA from Harvard Business School, and a BS in mechanical engineering, magna cum laude, from Texas A&M University.
  • Mike Franklin, Advisor

    Mike Franklin, Advisor

    Mike is a Professor of Computer Science at UC Berkeley, specializing in large-scale data management infrastructure and applications (these days called "Big Data"). He works primarily in the Database (DB) and Operating Systems and Networking Technology (OSNT) areas. He is Director of the Algorithms, Machines and People Lab (AMPLab) - an industry and government-supported collaboration of students, postdocs, and faculty who specialize in data management, cloud computing, statistical machine learning and other important topics necessary for making sense of vast amounts of varied and unruly data. The AMPLab received a National Science Foundation CISE "Expeditions in Computing" award, which was announced as part of the White House Big Data Research initiative in March 2012.  In addition to his academic endeavors, Mike was founder and CTO of Truviso, which was acquired by Cisco in 2012.  Mike holds a B.S. from the University of Massachusetts, Amherst and a Ph.D. from the University of Wisconsin, Madison.

  • Mike Olson, Advisor

    Mike Olson, Advisor

    Mike (@mikeolson) is the chief strategy officer of Cloudera, which he co-founded in 2008 and served as its CEO until 2013.  As CSO, Mike is responsible for Cloudera’s product strategy, open source leadership, engineering alignment and direct engagement with customers. Prior to Cloudera Mike was CEO of Sleepycat Software, makers of Berkeley DB, the open source embedded database engine. Mike spent two years at Oracle Corporation as vice president for Embedded Technologies after Oracle’s acquisition of Sleepycat in 2006. Prior to joining Sleepycat, Mike held technical and business positions at database vendors Britton Lee, Illustra Information Technologies and Informix Software. Mike has a Bachelor’s and a Master’s Degree in Computer Science from the University of California, Berkeley.

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