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General Information
Full Name | Toomas Erik Anijärv |
Date of Birth | 18th October 1997 |
Languages | Estonian, English |
Experience
- 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
Education
- 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"
- Engineering studies with a focus of medical instrumentation and biosignal processing. Favorite courses were
- 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
Erasmus+
Skills
-
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)
-
MATLAB
- 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)
Interests
- 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