cv

General Information

Full Name Matthias Christenson
Skills Quantitative Research, Machine Learning, MLOps, Statistical Analysis, Experimental Design, Project Management, Software Development and DevOps, Cloud technologies (AWS, GCP, Scaleway), Technical Writing, Science Teaching and Communication
Languages English (fluent), German (fluent), Spanish (working proficiency), French (basics)
Programming Python (Expert), SQL, Javascript, C++, Git, Bash, Unix, Docker
Python Stack scikit-learn, numpy, scipy, pandas, matplotlib, seaborn, dask, xarray, pytorch, transformers, lightning, pyro, cvxpy, Flask, Dask, streamlit, dash

Education

  • 2023
    PhD
    Columbia University, New York, USA
  • 2016
    MSci/BSc
    University College London, London, UK

Experience

  • 2024-present
    Principal Machine Learning Scientist
    MTN, Salt Lake City, USA (remote)
  • 2024-present
    Adjunct Faculty
    University of Utah, Salt Lake City, USA (remote)
  • 2024-2024
    Deep Learning Research Engineer
    DeepLife, Paris, France (remote)
  • 2022-2023
    Postdoctoral Research Scientist
    Columbia University, New York, USA
  • 2016-2022
    Doctoral Research Scientist
    Columbia University, New York, USA
  • 2020-2021
    Data Scientist (part-time)
    House of Crops Unamera, Remote
  • 2013-2016
    Undergraduate Research Assistant (part-time)
    University College London, London, UK

Honors and Awards

  • 2024
    • NIH A2 Collective Award
  • 2020
    • NIH T32 Vision Research Grant
    • CoSyNe Presenters Travel Grant
  • 2019
    • NIH T32 Vision Research Grant
  • 2018
    • Cold Spring Harbor Asia Summer School Stipend
  • 2016
    • Burnstock Prize - Best in Class
    • Dean's List - UCL Life Sciences
  • 2015
    • Dean's List - UCL Life Sciences
    • UCL ChangeMakers Stipend
    • Physiological Society Undergraduate Vacation Studentship
  • 2014
    • UCL Research Stipend
  • 2011
    • Deutscher Mathematiker Verein Award

Interests

  • Skiing, Strategic Board Games, Financial Modeling, Ballroom Dancing