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General Information

Full Name Matthias Christenson
Skills Self-Supervised Learning, Time-Series Modeling, Foundation Models, Transfer Learning, On-Device/Edge ML, MLOps, Quantitative Research, Statistical Analysis, Experimental Design, Cloud technologies (AWS, GCP), Technical Writing
Languages English (fluent), German (fluent), Spanish (working proficiency), French (basics)
Programming Python, 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

  • 2022
    PhD
    Columbia University, New York, USA
  • 2016
    MSci/BSc
    University College London, London, UK

Experience

  • 2024-present
    Chief AI Architect & 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