General Information

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


  • 06.2023 - ...
    Adjunct Fellow
    Thompson Institute, University of the Sunshine Coast, Australia
    • Support and assistance in using the EEG data analysis pipeline (EEG-pyline) developed by me.
    • Doing original research and writing scientific articles in collaboration with the Healthy Brain Ageing Clinic, Longitudinal Adolescence Brain Study and Clinical Research Unit of the institute.
  • 03.2022-05.2023
    Research Assistant
    Thompson Institute, University of the Sunshine Coast, Australia
    • Creation of an EEG pre-processing and analysis pipeline for supporting EEG-related research projects and studies.
    • Data analysis for studies in electrophysiology (i.e., EEG), ketamine as an antidepressant for depression and suicidality, and healthy brain ageing.
    • Writing and publishing scientific articles.
  • 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


  • 08.2023 - ...
    PhD in Medical Science, Neurology
    Lund University, Sweden
    • Part of the Clinical Memory Research Unit in the Faculty of Medicine.
    • Investigating early brain functional changes in the Alzheimer's disease continuum using fMRI and dMRI.
  • 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.
    • Exchange semester at Politecnico di Milano.
    • 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)
    • MRI image processing and analysis (nibabel, nipype, nipy, dipy, nilearn)
    • 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: functional magnetic resonance imaging (fMRI), diffusion magnetic resonance imaging (dMRI), electroencephalography (EEG)
  • Neuroscience: Alzheimer's disease, cognitive decline, ageing, cognition, depression, suicidality
  • Longetivity: ageing, nutrition, exercise