Philip Ekfeldt

Philip Ekfeldt

Data Scientist

New York University

About me

Recent grad from NYU with an MSc in Data Science with a background in both physics and IT consulting.

Interests

  • Machine Learning
    • Computer vision
    • Natural language processing
    • Reinforcement learning
  • Physics
  • Golf
  • History

Education

  • MSc in Data Science, 2020

    New York University

  • MSc in Engineering Physics, 2015

    KTH Royal Institute of Technology

  • BSc in Engineering Physics, 2013

    KTH Royal Institute of Technology

Experience

 
 
 
 
 

Data Science Intern

NBCUniversal

Jan 2020 – May 2020 New York
 
 
 
 
 

Research Assistant

NYU Langone

May 2019 – Dec 2019 New York
 
 
 
 
 

Business Consultant

Dassault Systèmes

Jul 2017 – Aug 2018 Stockholm, Sweden
 
 
 
 
 

Lead Developer

Dassault Systèmes

Jan 2016 – Jul 2017 Stockholm, Sweden
 
 
 
 
 

Developer

Dassault Systèmes

Aug 2015 – Jan 2016 Stockholm, Sweden

Recent Posts

May 30, 2020 5 min read golf
Golf analytics

Golf analytics

If you didn’t know already, I have a (pretty healthy) obsession with the game of golf. When I was younger it translated into spending whole days at the golf course over summer, and now it mostly means I listen to an unhealthy amount of golf podcasts where any normal person wouldn’t get 99% of the references to professional golf.

Projects

Word Bank Dashboard

Dashboard for browsing indicator timeseries for countries, using the World Bank API.

Bird’s Eye View Layout Prediction

In this project we focus on Bird’s Eye View (BEV) prediction based on monocular photos taken by the cameras on top of the car. We present a Maximum Mean Discrepancy Variational Auto Encoder (MMD VAE) model to predict the BEV road layout.

Dark Matter and Stellar Stream Detection

Stellar stream and dark matter detection are active areas of research in astrophysics. Historically, this detection has been a manual process and has led to the discovery of stellar streams such as GD-1 and Palomar 5.

Publications

Design and Optimisation of Detector Cells for the PoGOLite Polarimeter

The field of X-ray polarimetry provides a new way to observe astrophysical objects by measuring the polarisation fraction and angle of …
PDF
Design and Optimisation of Detector Cells for the PoGOLite Polarimeter

Experimental Demonstrator of the Uncertainty Principle

The goal of this project was to create an intuitive and clear demonstrator of the defining properties of quantum mechanics using single …
PDF Poster
Experimental Demonstrator of the Uncertainty Principle

Popular Topics

computer vision dashboard data data analysis golf machine learning physics