Michael Goldsby

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Hi, I'm Michael Goldsby. Welcome to my profile!

Michael Goldsby's Bio:

Michael Goldsby's Experience:

• M2M Strategy & Architecture at Qualcomm

  January 2008 - October 2012

  Envisioned & championed the delivery of a new innovative service-based business model aimed at exploiting the rapid emergence of mobile and sensor technology, in order to quickly deliver "closed-loop decision systems" that employ real-time big-data analytics for contextual and time-constrained decisions. This model allows Qualcomm business units, partners and affiliates to quickly create new high-value decision support offerings for customers. Partnered with Qualcomm Ventures and multiple business units in support of acquisitions and capital funding that would enrich Qualcomm's strategic position and IP portfolio. Developed financial model to help identify new high-value opportunities, assess valuation, identify risk and quantify appropriate burn rate relative to key business milestones and revenue growth. Also, evaluated technology viability and IP value in various market sectors. Led architecture & operational process design and guided multiple engineering teams (on-shore and off-shore) to realize the delivery of Qualcomm's Next Generation M2M Platform (M2M/PaaS). This platform delivered services for device management & two-way mobile communication, payment processing & metering, carrier integration, location & geo-fencing, pattern detection & analytics, security & compliance (PCI, HIPAA, Safe Harbor), fraud detection and other shared services.

• Visiting Research Scholar at UC San Diego - Department of Medicine

  June 2010 - May 2012

  Investigated the use of mobile and sensor technology to collect subjects' physiological, contextual and observational data in combination with traditional clinical bio-markers in order to diagnose/detect health conditions, optimize interventions and correlate clinical outcomes. Employed prior research and work to develop new techniques in next-generation translational bioinformatics to improve quality of care, preventive care and remote care. Invited by NIH mHealth Institute to lead post-doc grant writing session, producing what the NIH reviewers called "the most innovative proposal of 2011". Invited to participate in mHealth XPrize design team in order to set business goals, clinical objectives and identify success criteria. Explored new techniques in wavelet analysis to understand and identify influential relationships between endogenous and exogenous frequency patterns, in order to predict positive/negative trajectories and their velocity of change. For example, by classifying R-R variability patterns relative to glucose variability in the context of external factors that influence dominant sympathetic function, one can characterize the principle features of the individual's environment that create negative/positive change events. Besides offering powerful diagnostic/detection capabilities, these methods provide the potential for identifying behavioral/social triggers to improve treatment effectiveness and tracking treatment progress.

• CTO at Portellus Software, Inc.

  June 2005 - September 2007

  As a member of executive team, positioned Portellus for a successful acquisition by FiServ Corporation (NASDAQ: FISV), by delivering innovative award-winning solutions, creating a new service eco-system that attracted attention from industry publications and world-class Tier 1 customers such as Morgan Stanley, Discover Card, Chase, WAMU and Ameriquest. Partnered with customer executives to identify industry trends, opportunities and risks in order to optimize their business execution and ensure our products delivered the highest possible business value. Provided visible industry thought leadership with media, industry and community events, in order to drive heightened awareness and acceptance of technology direction relative to the company's strategy. Evangelized new industry models and concepts at conferences and worked with standards bodies in order to guide industry initiatives. Delivered leading-edge world-class commercial software products and platforms in the financial & insurance industries in order to automate decision-making and business operations. The components of these solutions included a unique distributed high-performance inference/decision engine, real-time analytic engine (i.e. data mining & machine learning), high-performance distributed message bus (host & mobile), SOA/EDA service engine, multi-tenant web framework and various domain components/services.

• Visiting Research Scholar at UC San Diego - Department of Medicine

  June 2004 - May 2006

  Investigated the use of wavelet analysis and discrete event simulation (DEVS), combined with traditional translational bioinformatics techniques, in order to simulate protein folding in-vivo. Further explored pathway interactions among proteins and other small molecules that promote specific gene expressions under given local environmental conditions. The focus of this research was aimed at understanding how metabolic and signaling pathways are affected by exogenous factors such as activity, nutrition, behavior and environment. The result of this work was the discovery of novel mathematical techniques to detect and classify changes in a given pathway that lead to negative events. Delivered an open source research platform (based on prior work) to accelerate activities focused on employing mobile devices, sensors and RFID. This unique platform offers investigators and patients the ability to collaborate on research & clinical trials, to analyze high-frequency data in real-time, capture new knowledge, explore influence pathways and recommend new directions. Knowledge is represented in the form of a Temporal Adaptive Acyclic Graph, allowing the knowledge structure to continuously adapt to new knowledge and forget irrelevant knowledge. High-frequency data can be blended with retrospective data in a normalized fashion in order to apply uniform algorithmic techniques across a holistic dataset. The platform provides a unique composition mechanism that offers the ability to mix multiple models into a single Super Model. Besides providing a unique set of algorithms for analyzing wavelets, a robust set of algorithms are available such as recurrent neural nets, bayes networks, genetic program, etc. Researchers can also develop their own plug-ins for the platform in order to introduce new approaches. The platform is based on distributed architecture and can be deployed across geographic and platform boundaries to servers, as well as mobile and embedded environments.

• CTO at True North Technologies

  January 2003 - December 2004

  Promoted and led technology strategy and analysis efforts to identify business technology opportunities that would significantly improve business agility and profitability. Led architecture & delivery of SaaS-based consumer-facing mortgage decision & pricing application that supported millions of users and 50,000 brokers across the US for key customers, while consistently maintaining a high quality of service. Delivered novel real-time closed-loop decision-making system that automated loan decisions and pricing, based on defined policies. The system made decisions more actionable by putting information into business context and relating business plans and goals, and also through the use of alerts, recommendations, guided analysis, feedback and expertise sharing. The core of the system was a proprietary predictive decision engine derived from optimized machine learning concepts, which delivered performance 180x faster than existing technology.

• Chief Scientist at Veritas Scientific Software

  January 2001 - December 2002

  Led delivery of prototype system for real-time risk analysis and decision support. This system employed the use of mobile intelligent agents deployed to mobile sensors in order to collect, integrate, aggregate, and filter data prior to transmitted the results to a back-end system for further analysis. The system was deployed for testing in several use cases including ship navigation, storm detection from buoy data and several others. Promoted and led technology-architectural POC efforts for key customers, to identify business-technology opportunities that would significantly improve their business agility, reach and profitability. Contributed to & led international standards and techniques efforts, focused on providing a Generalized Model Interface & Real-Time Model Environment. Contributed to complementary activities such as Parallel Processing Technical Community, Simulation Technical Community, Cluster Computing Task Force, & TFBI - Bioinformatics Task Force.

• Chief Architect at Veritas Scientific Software

  February 1997 - December 2000

  Promoted and led technology-architectural strategic analysis & business alignment efforts to identify technology opportunities that would significantly improve product agility and profitability. Architected & led commercial effort to develop a generalized concurrent distributed real-time computational modeling & simulation platform (NEPTUNE(R)) for automated risk/mitigation assessment and notification. Neptune provides the ability to create computational models based on differential equations as micro models that can be composed into large composite models. Participated in user-group conferences, presenting new technology ideas and planned feature enhancements in future releases of software products, including architectural how-to sessions on the use of Neptune & BRIX.

• Project Lead & Architect at Walt Disney Company

  September 1990 - January 1997

  Architected & led development effort for Internet-based middleware gaming platform focused on delivering common functions for game developers including messaging, geometric, behavior and learning functions. Architected and led development of maintenance planning module. Utilized advanced heuristic algorithms to optimize manpower utilizations and routing, saving 1,000's of wasted man-hours. Researched & led development of computational models for process simulation, finite element analysis, prediction & quantitative risk assessment. Architected and led development of an innovative capital management system that combined advanced analytic techniques in order to make better capital spending decisions.

• CTO & Chief Scientist at Jointly, Inc

  October 2012

  Created a multi-year vision focused on reducing the nearly $100 billion wasted on preventable hospitalizations each year by combining cutting edge mHealth technology with real-time analytics. This new approach provides patients with an early warning system that alerts those in their care-network with actionable information. The system continuously listens for subtle changes and detects patterns that indicate a negative change in trajectory. Partnered with CEO to raise $1.2M in seed funding from Frost Venture Partners and various angel investors based on this vision. Worked closely with CEO to validate market and solution viability in order to deliver product vision and messaging for the disease management sector of the healthcare industry. Acting as a key member of the sales team, helped acquire a Fortune 500 customer only 8 months after starting with Jointly, and generated traction with a number of other potential customers ready to implement our solution after FDA clearance.

Michael Goldsby's Education:

• University of California, San Diego - School of Medicine

  2004 – 2005
  Visiting Research Scholar

• National University

  BA
  Concentration: Business Finance & Economics

• Oxford Brookes University

  PhD
  Concentration: Computer Science & Applied Mathematics

• Oxford University

  Grad Study
  Concentration: Mathematics