Carolyn Phillips

Carolyn Phillips Email and Phone Number

Senior Staff Machine Learning Scientist at Wayfair @ Wayfair
Carolyn Phillips's Location
Chicago, Illinois, United States, United States
Carolyn Phillips's Contact Details
About Carolyn Phillips

I specialize in the integration of machine learning science research into engineering production systems to accelerate the impact of cutting edge research.

Carolyn Phillips's Current Company Details
Wayfair

Wayfair

View
Senior Staff Machine Learning Scientist at Wayfair
Carolyn Phillips Work Experience Details
  • Wayfair
    Senior Staff Machine Learning Scientist
    Wayfair Sep 2020 - Present
    Boston, Ma, Us
    - Work with Data Science and Engineering and Analyst teams to build Libraries and Platforms to accelerate the delivery of Models to Production and maintain and monitor models in Production
  • Capital One
    Data Scientist, Director. (Distinguished Engineer)
    Capital One Jul 2019 - Sep 2020
    Mclean, Va, Us
  • Capital One
    Data Scientist, Senior Manager
    Capital One Jul 2017 - Jul 2019
    Mclean, Va, Us
    * Leading a team of data scientist/data engineers to build three from-scratch to released-to-production customer matching models used by every line of business. * Working with a team of software engineers to operationalize those models.* Serving on Capital One's Tech College Machine Learning Advisory Board
  • Capital One
    Data Scientist, Manager
    Capital One Feb 2017 - Jul 2017
    Mclean, Va, Us
  • Neurensic
    Lead Data Scientist
    Neurensic Jul 2016 - Jan 2017
    Chicago, Illinois, Us
    Work with finance industry experts to design, implement, and deliver to customers models that detect fraudulent and abusive trading activity
  • Neurensic
    Sr. Data Scientist
    Neurensic Mar 2016 - Jun 2016
    Chicago, Illinois, Us
    Worked with finance industry experts to design, implent, and deliver models that detect fraudulent and abusive trading activity into our software product
  • University Of Chicago - Computation Institute
    Computation Institute Fellow
    University Of Chicago - Computation Institute Jun 2015 - Mar 2016
    Chicago, Il, Us
  • Argonne National Laboratory
    Computational Scientist
    Argonne National Laboratory Feb 2015 - Mar 2016
    Lemont, Il, Us
    - Developing enhanced statistical sampling software to measure mechanical properties in soft matter and condensed matter systems.- Extracting and tracking vortices from large data sets generated by models of type-II superconductors
  • Argonne National Laboratory
    Aneesur Rahman Postdoctoral Fellow
    Argonne National Laboratory Feb 2012 - Feb 2015
    Lemont, Il, Us
    - By coupling high-throughput computing with data analysis, machine learning, and shape matching, I am developing methods to accelerate the rate of material discovery using computation.- Instructor in the Seminars for Endorsement of Science and Mathematics Educators (SESAME) Program
  • University Of Michigan
    Phd Student
    University Of Michigan Sep 2006 - Dec 2011
    Ann Arbor, Michigan, Us
    - Design and develop simulation software for high-performance computers and general-purpose graphics processing units (GPGPU).- Invented heuristic algorithm for optimizing the area coverage of a shape with a finite set of discs.- Performed research on self-assembling nano-particle and colloidal systems
  • Naval Reactors
    Naval Nuclear Power Research Project Officer
    Naval Reactors Sep 2001 - Aug 2006
    Responsible for research and development of current reactor core materials, and support of fleet and manufacturing reactor core materials. Responsibilities spanned forty scientists and engineers at two Department of Energy Laboratories (Knolls Atomic Power Laboratory, Bettis Atomic Power Laboratory), and research performed at the Idaho National Laboratory and the Advanced Test Reactor.

Carolyn Phillips Skills

Physics Scientific Computing Algorithms Data Analysis Python C++ Matlab Mathematical Modeling Machine Learning High Performance Computing Parallel Computing Simulations C Cuda Programming Computer Science Applied Mathematics Chemistry Numerical Analysis Science Parallel Programming Colloids Nanomaterials Molecular Dynamics Latex Numerical Simulation Optimization Molecular Modeling Computational Modeling Spark

Carolyn Phillips Education Details

  • University Of Michigan
    University Of Michigan
    Applied Physics And Scientific Computing
  • Naval Postgraduate School
    Naval Postgraduate School
    Mechanical
  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Mechanical Engineering
  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Mathematics

Frequently Asked Questions about Carolyn Phillips

What company does Carolyn Phillips work for?

Carolyn Phillips works for Wayfair

What is Carolyn Phillips's role at the current company?

Carolyn Phillips's current role is Senior Staff Machine Learning Scientist at Wayfair.

What is Carolyn Phillips's email address?

Carolyn Phillips's email address is lo****@****ail.com

What is Carolyn Phillips's direct phone number?

Carolyn Phillips's direct phone number is +170344*****

What schools did Carolyn Phillips attend?

Carolyn Phillips attended University Of Michigan, Naval Postgraduate School, Massachusetts Institute Of Technology, Massachusetts Institute Of Technology.

What are some of Carolyn Phillips's interests?

Carolyn Phillips has interest in Civil Rights And Social Action, Science And Technology, Education.

What skills is Carolyn Phillips known for?

Carolyn Phillips has skills like Physics, Scientific Computing, Algorithms, Data Analysis, Python, C++, Matlab, Mathematical Modeling, Machine Learning, High Performance Computing, Parallel Computing, Simulations.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.