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Dr. Maria Balaet

Dr Maria Balaet holds a PhD in Clinical Medicine and Computational Neuroscience from Imperial College London, which was funded by a prestigious award she received in 2019 from the UK Medical Research Council. She is currently a Research Fellow at the Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London. In April 2025, Maria founded ASET Lab.

 

With over a decade of research experience, her work focuses on technology, human intelligence and altered states of consciousness.
 

As part of the Cognitron team, she has developed state-of-the-art computerised cognitive testing for both general and clinical populations, including those with traumatic brain injury (TBI)Parkinson's disease, and REM sleep behaviour disorder. After her PhD she was funded by the UK and US Ministries of Defence via the mTBI-predict consortium to develop precision cognitive biomarkers that predict outcomes following mild TBI. In addition, she received a pilot grant from the Huo Family Foundation to collaborate with the REACT initiative at Imperial College London, exploring links between technology use and cognitive abilities in young people. This project is currently being scaled up in collaboration with Professors Adam Hampshire, Philip Shaw and the REACT team, following a second substantial award from the Huo Family Foundation. Maria is also running a study on altered states of consciousness during childbirth.

Previously, Dr Balaet led one of the largest longitudinal study arms on recreational drug use and cognition in the general population, recruiting over 500,000 participants through the Great British Intelligence Test (2019-2024). One of the main focus of the study was to investigate how psychedelics affect the mental health and cognitive ability of users. She has also established natural language processing pipelines to survey public opinions about authority figures during the COVID-19 pandemic, an effort that gained her recognition from OpenAI and led to an invitation to the developer roundtable hosted by Sam Altman discussing the future of LLMs in May 2023.
 

During her eight years at Imperial College, she taught machine learning and neuroscience at postgraduate level (Translational Neuroscience MSc and Experimental Neuroscience MRes), supervised student theses, and mentored students from disadvantaged backgrounds through In2Science UK. She is a regular speaker at national and international scientific meetings, radio shows and podcasts, and is regarded as one of the UK's key science communicators on psychedelics, having delivered more than 50 public lectures in partnership with Seed Talks.

Main Academic Projects

December 2019 - Present

June 2020 - September 2023

January 2025 - December 2030

April 2024 - December 2026

March 2020 - May 2023

October 2024 - December 2025

Great British Intelligence Test Drug Use Arm. 

Monitoring naturalistic drug use patterns alongside mental health and cognitive performance in a large (>500,000 participants) general population cohort in the UK. Special focus on psychedelics. 

Developing cognitive testing technology for prodromal neurodegeneration.

Run in collaboration with the University of Oxford to develop tools for indetifying subtle early cognitive fluctuations linked to REM sleep behavioural disorder, and Parkinson's disease. This technology is now used in clinical trials and research studies across the globe.

Effect of technology on cognitive ability in youth.

Working with a cohort of >130,000 children and their parents to understand via monitoring of naturalistic technology use patterns, as well as controlled intervention sub-studies how the use of modern day technologies (smartphones, generative AI, and others) may significantly change human cognition. 

Understanding the overlap between childbirth and altered states.

Investigating retrospective childbirth experiences using gold standard instruments for quantifying altered states of consciousness in a sample of >2000 mothers and fathers. 

Using natural language processing to gain behavioural insights.

Bypassing the relaiance on researcher bias and standardised measures by leveraging early natural language processing pipelines to gain behavioural insights straight from participants own words. Applied to understand opinions about bodies of authority and COVID-19 theories during the COVID-19 pandemic.

Developing cognitive biomarkers for predicting the outcomes of mild TBI.

A study sponsored by the UK and USA ministries of defence to recruit participants who suffered mild head injuries and monitor them for up to 2 years using wearable devices and bespoke cognitive testing technologies. 

I also provide my expertise outside academic contexts

I have a strong track record of public speaking and involvement in the arts and media for both scientific communication and entertainment.

Since 2025 I have also opened bookings for consulting. 

If you would like to work together please get in touch.

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