Ian Shapiro

Ian Shapiro Email and Phone Number

Health ML Manager at Apple @ Apple
cupertino, california, united states
Ian Shapiro's Location
San Francisco Bay Area, United States
Ian Shapiro's Contact Details

Ian Shapiro work email

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About Ian Shapiro

My strength is the unique combination of a broad scientific background paired with analytical programming skills and the adaptability to tackle unprecedented multi-disciplinary engineering problems. My abilities include a doctoral foundation in chemical physics, a penchant for machine learning and multivariate statistical analysis, a decade of hands-on experience in R&D laboratory environments ranging from organometallic synthesis to protein purification and in-vivo fluorescence imaging, and the scientific programming know-how to design, integrate and deploy complex data analysis tools into product development and manufacturing. I enjoy projects and challenges requiring creative solutions that draw from multiple scientific fields. Nothing is more exciting than teasing meaningful structure from what appears at first inspection to be featureless random noise.

Ian Shapiro's Current Company Details
Apple

Apple

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Health ML Manager at Apple
cupertino, california, united states
Website:
apple.com
Employees:
218112
Ian Shapiro Work Experience Details
  • Apple
    Enginering Manager, Health Ml
    Apple Jun 2013 - Present
    San Francisco Bay Area
    I manage an engineering incubation team in Apple Hardware Engineering, focused on developing new ML methodologies for health sensing applications
  • C8 Medisensors
    Sensor Analysis Lead
    C8 Medisensors Jan 2011 - May 2013
    At C8 MediSensors we are nearing the official release of a truly revolutionary medical device, one that will combine the measurement capability of complex laboratory equipment with the size, cost and usability of miniature consumer electronics. In a single blood glucose measurement we deliver several quintillion (10^18) photons to the skin and subcutaneous tissue. Of the roughly ten million photons that are collected by our sensor from of fluorescence emission and Raman scattering, just a few thousand arise from glucose and can be used in our measurements. To develop miniaturized battery-powered spectrometers capable of resolving small blood glucose changes despite this spectacularly low signal to background ratio, we have been forced to adapt beyond conventional calibration and testing techniques.As Instrument Analysis Lead I manage the development and deployment of algorithms for glucometer calibration and test, the mining and distillation of large test data sets into meaningful metrics and device quality predictions, and the integration of these analytical methods into practical automated tools for use throughout the company. I am also the point of contact between analysis engineering and several other groups including process engineering, quality assurance and reliability, and optical systems engineering. Constant communication and rapid iterations of constructive feedback are keys to success in this context. In any given week I may spend one day developing and deploying new instrument calibration algorithms for use in R&D and manufacturing, another day applying the tools of chemometrics to vast in vivo data sets, a few hours debugging C++ instrument control code, an afternoon mining device test results from SQL and providing feedback metrics to manufacturing, a few evenings working on automated data flow tools to aid process improvement, and the balance of time communicating these developments to scientists, engineers and managers throughout the company.
  • Occidental College
    Adjunct Professor And Research Associate
    Occidental College Sep 2009 - Jun 2010
    Los Angeles, Ca
    Lectured and prepared original course material for Occidental College's chemistry course sequence for sophomore- and junior-year majors in chemistry and biology.Maintained an optical microscopy research platform and trained undergraduate research students in the use of contemporary fluorescence techniques for characterizing neuronal defects in transgenic strains of C. elegans expressing fluorescent axon markers.
  • California Institute Of Technology
    Graduate Student
    California Institute Of Technology 2002 - 2009
    Graduate research focused on photophysical properties of semiconductor quantum dots, single-molecule microscopy of fluorescently labeled biomolecules, and fabrication of carbon nanotube AFM probes.

Ian Shapiro Skills

Spectroscopy R&d Optics Chemistry Raman Matlab Microscopy Data Analysis Physics Afm Algorithms Medical Devices Statistics Mathematical Modeling Nanotechnology Sensors Machine Learning Scanning Electron Microscopy Fluorescence Simulations Confocal Microscopy Uv/vis Product Development Python Biomedical Engineering Multivariate Analysis Biochemistry Microfluidics Image Analysis R Materials Science Scientific Computing Nmr Latex Quantum Dots Design Of Experiments Semiconductors Mysql Imagej Octave

Ian Shapiro Education Details

Frequently Asked Questions about Ian Shapiro

What company does Ian Shapiro work for?

Ian Shapiro works for Apple

What is Ian Shapiro's role at the current company?

Ian Shapiro's current role is Health ML Manager at Apple.

What is Ian Shapiro's email address?

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What is Ian Shapiro's direct phone number?

Ian Shapiro's direct phone number is +191933*****

What schools did Ian Shapiro attend?

Ian Shapiro attended Caltech, California Institute Of Technology.

What skills is Ian Shapiro known for?

Ian Shapiro has skills like Spectroscopy, R&d, Optics, Chemistry, Raman, Matlab, Microscopy, Data Analysis, Physics, Afm, Algorithms, Medical Devices.

Who are Ian Shapiro's colleagues?

Ian Shapiro's colleagues are Kyle Hoffhines, Rocco Mandaglio, Zoz Ali, Tomi Hodson, Rao Priyanka, Nurishmal Kibess, Monu Jain.

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