Michael Sussman

Michael Sussman Email and Phone Number

Lead Data Scientist at Apple @ Apple
Michael Sussman's Location
Mountain View, California, United States, United States
Michael Sussman's Contact Details

Michael Sussman work email

Michael Sussman personal email

n/a
About Michael Sussman

Principal data scientist and outspoken defender of data-driven culture. Specializing in A/B testing and statistical modeling, turning complex systems of equations into efficient, high-quality code. Extensive experience with corporate and biotech software development, massively-parallelized climate simulations, and pattern recognition.

Michael Sussman's Current Company Details
Apple

Apple

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Lead Data Scientist at Apple
Michael Sussman Work Experience Details
  • Apple
    Lead Data Scientist
    Apple Jun 2020 - Present
    Cupertino, California, Us
    Maps are cool.
  • Groupon
    Principal Data Scientist
    Groupon Apr 2019 - Jun 2020
    Chicago, Il, Us
    ● Group sequential testing methods for A/B testing, resulting in an additional $5.2+ million in revenue/year from faster decision-making and time-to-market.● Vocal advocate for data-driven culture, establishing a program to standardize and strengthen company-wide data science process. Mentoring more junior data scientists. ● Education and seminars for marketing / product managers and C-suite executives, translating complicated statistical concepts and experiment results into plain English.● Markov chain prediction model for user-funnel optimization and generation of new experiment hypotheses.● User segmentation via clustering analysis of shopping behavior.Tech Stack​: Python (Pandas), Hive, SQL
  • Groupon
    Senior Data Scientist
    Groupon Mar 2016 - Apr 2019
    Chicago, Il, Us
  • Groupon
    Data Scientist
    Groupon Mar 2015 - Mar 2016
    Chicago, Il, Us
  • The University Of Arizona, Lunar & Planetary Laboratory
    Postdoctoral Research Associate
    The University Of Arizona, Lunar & Planetary Laboratory Aug 2012 - Feb 2015
    Tucson, Arizona, Us
    ● Development of supercomputer climate models of high-obliquity planets, integrating  large sets of partial differential equations in a massively parallel framework.     ● Statistical analysis of simulation results to derive flux divergence.  Tech Stack​: Matlab, Fortran, Python (Numpy / Scipy)
  • University Of Louisville, Physics & Astronomy Dept.
    Postdoctoral Research Associate
    University Of Louisville, Physics & Astronomy Dept. Aug 2011 - Aug 2012
    Louisville, Ky, Us
    ● Development of large-scale giant planet climate simulations using supercomputing  clusters. Generation of elliptical PDE solver of massive matrices for velocity streamfunctions.    ● Synthesis of ground-based data sets to derive stratospheric planetary wave amplitudes using Bayesian Fourier Transform detection. Tech Stack​: C, MPI, IDL
  • New Mexico State University,, Dept. Of Astronomy
    Graduate Research Assistant
    New Mexico State University,, Dept. Of Astronomy Jul 2004 - Jul 2011
    Las Cruces, Nm, Us
    ● Advancement of climate simulations to include original radiative transfer routines,  optimizing published algorithms from O(n​^2​) to O(n).     ● Original analysis techniques of spacecraft data visual pattern recognition in giant  planetary atmospheres.     ● Spectroscopy with research-class telescopes at multiple observatories.    Tech Stack​: C, Python, IDL, IRAF
  • Miicro, Inc
    Research Analyst
    Miicro, Inc May 2002 - Jul 2004
    ● Inferential statistical methods including Principal Component Analysis of neurological scan data for novel drug development.      ● Innovative normalization techniques using linear transforms, DCTs, and cost functions. Generated and maintained Python code to parse clinical data.    Tech Stack​: Python, Matlab
  • Collabnet
    Quality Assurance & Technical Support Engineer
    Collabnet Feb 2001 - May 2002
    Alpharetta, Ga, Us
    ● Establishment of QA process for a network of developers creating code collaboration tool. ● Black-box testing in Python.
  • Inso Corporation
    Quality Assurance Engineer
    Inso Corporation May 1998 - Feb 2001
    ● Test execution of commercial software over multiple platforms. ● Functional and stress testing, for in-house white-box test applications in C.

Michael Sussman Skills

Statistics Python Physics Latex Matlab Fortran Algorithms C Unix Numerical Analysis Scientific Computing Simulations Statistical Data Analysis Astrophysics Mathematical Modeling Computational Physics Observational Astronomy Planetary Science A/b Testing Differential Equations Idl Theoretical Physics Fluid Dynamics Radiative Transfer Thermodynamics Scientific Writing Spectroscopy Computational Modeling Javascript Pattern Recognition Scientific Visualization Unix Shell Scripting Optics Principal Component Analysis Partial Differential Equations Numerical Linear Algebra Vector Calculus Fourier Analysis Finite Difference Method

Michael Sussman Education Details

  • New Mexico State University
    New Mexico State University
    Astronomy
  • New Mexico State University
    New Mexico State University
    Astronomy
  • Shimer College
    Shimer College
    Natural Sciences

Frequently Asked Questions about Michael Sussman

What company does Michael Sussman work for?

Michael Sussman works for Apple

What is Michael Sussman's role at the current company?

Michael Sussman's current role is Lead Data Scientist at Apple.

What is Michael Sussman's email address?

Michael Sussman's email address is ms****@****pon.com

What is Michael Sussman's direct phone number?

Michael Sussman's direct phone number is +131267*****

What schools did Michael Sussman attend?

Michael Sussman attended New Mexico State University, New Mexico State University, Shimer College.

What are some of Michael Sussman's interests?

Michael Sussman has interest in Education.

What skills is Michael Sussman known for?

Michael Sussman has skills like Statistics, Python, Physics, Latex, Matlab, Fortran, Algorithms, C, Unix, Numerical Analysis, Scientific Computing, Simulations.

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