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Anna M. Mäkinen profile image

Anna M. Mäkinen

Data Scientist at Pace Revenue
Intro Book
Seismology researcher with expertise in geophysics and computational methods.
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Location
Girton, England, United Kingdom, GB
Languages
  • English Native or bilingual proficiency
  • Finnish Native or bilingual proficiency
  • Swedish Professional working proficiency
  • German Limited working proficiency
  • Spanish Elementary proficiency
Skills
  • Seismology
  • Geophysics
  • Physics
  • Fortran
  • Research
  • Show all
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Bio

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Anna M. Mäkinen is a seismology researcher with expertise in geophysics, physics, and computational methods. She has worked as a Research Scientist, Senior Scientist, and Data Scientist in various institutions, including Schlumberger, University of Cambridge, and Featurespace. Her research focuses on seismic processing, subsurface imaging, and machine learning applications in the oil and gas industry. She holds a PhD in computational seismology from the University of Cambridge and has taught mathematical methods for the Natural Sciences Tripos. Anna is proficient in multiple languages, including English, Finnish, Swedish, German, and Spanish, and has a strong background in programming languages like Fortran and Linux.

Credentials

  • Prediction and Control with Function Approximation
    Coursera
    May, 2023
    - Apr, 2026
  • Sample-based Learning Methods
    Coursera
    May, 2023
    - Apr, 2026
  • Fundamentals of Reinforcement Learning
    Coursera
    Apr, 2023
    - Apr, 2026
  • Natural Language Processing with Attention Models
    Coursera
    Feb, 2021
    - Apr, 2026
  • Natural Language Processing with Sequence Models
    Coursera
    Jan, 2021
    - Apr, 2026
  • Natural Language Processing with Probabilistic Models
    Coursera
    Dec, 2020
    - Apr, 2026
  • Natural Language Processing with Classification and Vector Spaces
    Coursera
    Nov, 2020
    - Apr, 2026
  • Bayesian Methods for Machine Learning
    Coursera
    Jul, 2020
    - Apr, 2026
  • AI For Medical Treatment
    Coursera
    Jun, 2020
    - Apr, 2026
  • AI for Medical Diagnosis
    Coursera
    May, 2020
    - Apr, 2026
  • AI for Medical Prognosis
    Coursera
    May, 2020
    - Apr, 2026
  • Convolutional Neural Networks
    Coursera
    Apr, 2020
    - Apr, 2026
  • Sequence Models
    Coursera
    Apr, 2020
    - Apr, 2026
  • Structuring Machine Learning Projects
    Coursera
    Mar, 2020
    - Apr, 2026
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Feb, 2020
    - Apr, 2026
  • Machine Learning
    Coursera
    Feb, 2020
    - Apr, 2026
  • Neural Networks and Deep Learning
    Coursera
    Feb, 2020
    - Apr, 2026

Experience

  • Pace Revenue
    • London, England, United Kingdom
    • Data Scientist
      • Jun 2023 - Present
      • London, England, United Kingdom

  • Featurespace
    • Cambridge, England, United Kingdom
    • Data Scientist
      • Jul 2022 - Jun 2023
      • Cambridge, England, United Kingdom

      I worked as Data Scientist in Featurespace, in the financial fraud detection sector, as part of a team of 20. I trained machine learning models for clients and consult on their data and data science needs.

  • Schlumberger
    • Data Scientist
      • Feb 2021 - Jul 2022

      I worked as a Data Scientist in Schlumberger Cambridge Research's Well Construction Data Lab, in a team of 8. I used data science and machine learning techniques on problems in the well construction domain in the oil and gas industry, with focus on multivariate time series data from physical sensors. My ML work primarily focussed on applying different neural network architectures to time series data problems specific to the well construction (drilling) domain.

    • Senior III Research Scientist
      • Nov 2020 - Jan 2021

      I worked as a Research Scientist in the Geophysics Department at Schlumberger Cambridge Research, in a team of 7. I developed new geophysical algorithms for seismic processing, subsurface imaging and inversion for seismic exploration and reservoir characterization in the oil and gas industry.Daily tasks included prototype code development in C++, method testing on synthetic and field data, and internal communication of R&D algorithms and results at various technical levels. I regularly presented externally at international conferences. My main technical focus was on subsurface imaging by least-squares inversion.Side projects included work on emerging technologies and co-founding and leading a 600+ person internal online technical community with focus on energy transition technologies.

    • Senior II Research Scientist
      • Jun 2018 - Oct 2020

    • Senior I Research Scientist
      • Dec 2016 - May 2018

    • Research Scientist
      • Oct 2013 - Nov 2016

  • University of Cambridge
    • United Kingdom
    • Research Services
    • 700 & Above Employee
    • Ph.D Student - Seismology Research
      • Oct 2009 - Sep 2013

      My PhD was in computational seismology, a sub-field of geophysics, with specific focus on theoretical and observational global seismology for the deep Earth. My thesis work comprised studies of the Earth's inner core using normal mode and body wave data.

    • Teaching assistant in Earth Sciences
      • Oct 2010 - Dec 2010

  • Trinity College Cambridge
    • Cambridge, United Kingdom
    • Supervisor - IA Natural Sciences Mathematics
      • Oct 2011 - May 2012
      • Cambridge, United Kingdom

      Supervised first-year undergraduates in mathematical methods for the Natural Sciences Tripos; 8 students in total.

Education

  • 2009 - 2013
    University of Cambridge
    Doctor of Philosophy (PhD), Geophysics - Global Seismology
  • 2005 - 2009
    University of Cambridge
    Master of Natural Sciences (M.Sci), Experimental and Theoretical Physics
  • 2005 - 2009
    University of Cambridge
    Bachelor of Arts (B.A.), Experimental and Theoretical Physics
  • 2002 - 2005
    Oulun Lyseon lukio
    International Baccalaureate Diploma

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