General Information

Full Name Toomas Erik Anijärv
Date of Birth 18th October 1997
Languages Estonian, English


  • 03.2022 - ...
    Research Assistant
    Thompson Institute, University of the Sunshine Coast, Australia
    • Creation of an EEG pre-processing and analysis pipeline for supporting conducted studies, including oral ketamine trial for major depression and suicidality, and cognitive decline in older adults.
    • Management of an upcoming clinical trial of a new medical device
  • 09.2020-08.2021
    Chief Experience Officer
    Triumf Health, Estonia
    • Responsible for R&D and preparation of research publications
    • Managed the marketing efforts and assisted in sales
  • 09.2019-01.2020
    Data Analyst Intern
    Enefit Green, Estonia
    • Helped to develop a real-time machine learning platform for predicting malfunctions of wind turbines
  • 01.2017-08.2017
    Programming teacher
    NGO Taibukate teaduskool, Estonia
    • Taught primary school students Game Maker Studio software


  • 09.2020-01.2023
    MScEng in Medical Technology and Physics
    Tallinn University of Technology, Estonia
    • Engineering studies with a focus of medical instrumentation and biosignal processing. Favorite courses were
      • Physiological Signal Processing
      • Electromagnetic Fields and Waves in Biomedical Engineering
      • Biomedical Biooptics
      • Artificial Intelligence in Healthcare
    • Exchange semester at Politecnico di Milano. Attended courses were
      • Neuroengineering
      • Bioengineering of Neurosensory Systems
      • Clinical Technology Assessment
      • Biomedical Signal Processing Laboratory
    • GPA 4.73/5.00 (cum laude)
    • Thesis "Long-term electrophysiological changes and relationship with clinical and biochemical measures following a 6-week low-dose oral ketamine treatment in adults with major depressive disorder and chronic suicidality"
  • 09.2017-08.2020
    BScEng in Electrical Power Engineering and Mechatronics
    Tallinn University of Technology, Estonia
    • The studies and thesis work mostly focused on electronics and programming (Python).
    • Thesis "Real-time Measurement and Analysis for the Big Data of Utility Frequency Alternating Current"

Further training

  • 04.2021
    BCI & Neurotechnology Spring School 2021
    g.tec medical engineering
  • 09.2020
    Growth Training
    Growth Tribe Academy, X-Europe
  • 09.2018-12.2018
    Managing creative teams
    Estonian Business School
  • 08.2018
    Managing development teams in an organisation
    University of Tartu
  • 2017-2021
    Five 1-week exchange projects in Austria, Turkey, Ireland, and Italy


  • Python
    • Data analytics and visualisation (NumPy, SciPy, Pandas, Matplotlib, seaborn)
    • Electroencephalography (EEG) signal processing and analysis (MNE, specparam)
    • Basic machine/deep learning (scikit-learn, Tensorflow)
    • Raspberry Pi programming
    • Web development (Django)
    • Signal processing and analysis
  • Science
    • Electroencephalography (EEG) measurements and analysis
    • Scientific writing
    • Statistics (Python, SPSS)
    • Systematic review and meta-analysis
  • Other
    • Microsoft Office programs
    • CAD software (AutoCAD, SolidWorks)


  • Neuroimaging: electroencephalography (EEG), functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), magnetic resonance spectroscopy (MRS), near-infrared spectroscopy (NIRS)
  • Neuroscience: Alzheimer's disease, cognitive decline, ageing, cognition, depression, suicidality
  • Neuromodulation: transcranial magnetic stimulation (TMS), transcranial direct current stimulation (TDCS), deep brain stimulation (DBS)
  • Longetivity: ageing, nutrition, exercise