Leading the development of innovative data driven applications, including those that harness artificial intelligence to support clinicians and improve patient outcomes.

Multi-disciplinary leadership role in dynamic early stage start-up company creating disruptive medical devices.

Responsible for identifying and driving early stage development programs, cross-functional collaboration and technology strategy across Hospira R&D medical device platforms. Technical lead: glucose management systems, data mining applications, decision support for drug delivery, and physiological modeling. Leveraging Data: led/performed multiple data mining initiates including development of predicative analytics based upon large data sets, creation of analytics assessing therapy efficacy, determination of events leading to air embolism and assessment of competitive products. External Relationships: identified partners, developed and led collaborations supporting internal development and future programs. Managed multiple academic collaborations ranging from early detection of sepsis (via machine learning) to automated insulin delivery (closed-loop control).Corporate “Patent Prefect” responsible for identifying and protecting intellectual property. Led and conducted patent mapping activities, wrote the specification for multiple applications and inventor on 12 patents.R&D Core Team Lead for Decision Support Systems: leadership role in three product development programs.

Led a diverse team of engineers, technicians and scientists who were responsible for the core technology development of a non-invasive optical measurement system. We determined optimal system specifications, developed the tissue optical interface and created data driven computational systems. During this time I mentored entry level employees enabling their career advancement.Key contributor to the research and development of a non-invasive measurement technology and algorithms for measuring blood glucose through near-infrared spectroscopy.Built computational processing systems using signal and image processing, artificial neural networks, genetic algorithms, multivariate statistical analysis, chemometrics, instrument standardization, classification and pattern recognition.Designed, developed and programmed a collaborative analysis and modeling software system used by the entire technical team for exploratory analysis, multivariate calibration development, instrument standardization and analytical prediction.Led series of investigations to determine system specifications and demonstrate feasibility of the core non-invasive technology. Determined system specifications and design inputs. Identified intellectual property, wrote patent specifications and reviewed claim sets. Inventor of over 30 issued U.S. Patents.

Conducted research and development activities in control systems for next generation products.Developed load forecasting algorithms for intelligent control of building heating and cooling systems.Researched, developed, implemented and tested an adaptive near optimal controller for shifting electric building loads to off-peak hours.

Researched, developed and implemented advanced signal processing and machine learning systems for noninvasive measurement instrumentation. Developed pattern classification algorithms and multivariate calibrations for spectroscopic applications.Led analytical efforts and contributed to research proposals and project planning. Technical experience included digital signal processing, systems identification, pattern recognition, nonlinear optimization through genetic algorithms, artificial neural networks, multivariate analysis/calibration and chemometrics. Programming experience in C/C++ and Matlab.Created a software system in C++ integrating genetic algorithms, Kalman filters and artificial neural networks to perform learning, multivariate nonlinear modeling and prediction. Applied analytical expertise to microbiological detection (fluorescence spectroscopy and artificial neural networks), noninvasive detection of coronary arterial stenosis through phonoangiography (signal processing and system identification through time series analysis), noninvasive measurement of blood analytes through near-infrared spectroscopy and chemometrics, cancer detection through time-resolved fluorescence spectroscopy and measurement of hazardous metals in ground water through liquid atomic emission.