Daniel Elgort

• Defining research program and strategic direction for Philips in the area of big data analytics in healthcare
• Leading a portfolio of research projects with globally distributed teams in US, Netherlands, Germany, China, India and Brazil
• Managing an annual research budget of over $3mil and team of approximately 30 researchers, developers, and designers
• Hands-on technical work with team to design and implement big data infrastructure to support distributed data hosting, global… Show more

• Defining research program and strategic direction for Philips in the area of big data analytics in healthcare
• Leading a portfolio of research projects with globally distributed teams in US, Netherlands, Germany, China, India and Brazil
• Managing an annual research budget of over $3mil and team of approximately 30 researchers, developers, and designers
• Hands-on technical work with team to design and implement big data infrastructure to support distributed data hosting, global data access, high performance parallelized computation, and sophisticated data visualization
• Generated more Transfers to Philips Healthcare business units in 2014 than all other 568 active global research projects, the impact of these Transfers are estimated to be over $50mil in revenue over the next 3 years Show less

• Initiated and led project to develop MRI scanners with 10,000 times the resolution of conventional MRI
• Led ten member project team (5 at Philips Research, 3 at New York University, and 2 at University of California at Berkeley)
• Successfully secured two phases of DARPA funding totaling over $5mil and 4 years of Philips funding totaling over $500k
• Developed data acquisition software to synchronize NMR measurements and laser/optics control
• Developed data processing software… Show more

• Initiated and led project to develop MRI scanners with 10,000 times the resolution of conventional MRI
• Led ten member project team (5 at Philips Research, 3 at New York University, and 2 at University of California at Berkeley)
• Successfully secured two phases of DARPA funding totaling over $5mil and 4 years of Philips funding totaling over $500k
• Developed data acquisition software to synchronize NMR measurements and laser/optics control
• Developed data processing software including Fourier analysis, noise suppression, and robust regression analysis Show less

• Implemented custom pairs trading algorithm using Matlab (over 3,500 lines of code)
• Identified cointegrated pairs of equities using Dickey-Fuller, Engle-Granger, and Johansen statistical tests
• Applied filters to find pairs that will generate maximum returns (spectral analysis, error correction models, and backtesting)
• Performed robust regression analysis to identify backtesting performance metrics that best predict active trading performance
• Applied filters to find pairs… Show more

• Implemented custom pairs trading algorithm using Matlab (over 3,500 lines of code)
• Identified cointegrated pairs of equities using Dickey-Fuller, Engle-Granger, and Johansen statistical tests
• Applied filters to find pairs that will generate maximum returns (spectral analysis, error correction models, and backtesting)
• Performed robust regression analysis to identify backtesting performance metrics that best predict active trading performance
• Applied filters to find pairs that maximize market-neutral behavior (filter out imbalances in beta, volatility, and sector exposure)
• Implemented adaptive parameters that control thresholds for entry/exit from positions and time between updating pairs
• Simulated trading between 2007-2012 using price data from 861 equities, distributed among nine economic sectors
• Performed sensitivity analysis and optimized parameter values with respect to risk-adjusted returns and alpha
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Formulated business plan and detailed financial projections, raised $50k seed capital for development of cloud-based B2B ecommerce platform.

• Initiated and led a project to explore and develop image-guided surgical robotics
• Secured over $200k of funding for 2008 and 2009
• Established clinical research collaborations with Johns Hopkins University and Sickkids Hospital in Toronto
• Performed market and technology-based research to identify opportunities for Philips in the medical robotics space

• Initiated and led a project to enable pre-operative MRI images to respond to respiratory motion and used for surgical guidance
• Developed ultrasound motion sensor to capture a digital times series signal correlated to respiratory motion
• Modeled respiratory motion of the heart using Principle Component Analysis
• Implemented custom algorithms (C++ and Matlab) to process ultrasound data and update display of MRI images in real-time

• Developed multi-modality real-time image guidance for catheter-based cardiac surgery as member of 5 person team
• Developed in C++ image registration and catheter tracking algorithms using cluster analysis, robust regression methods, and affine coordinate transformations
• Wrote C++ software to implement real-time image data acquisition/display and to implement a graphical user interface