Marie Zelenina

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I am a third-year PhD candidate at the National Institute of Mental Health (NIMH), NIH, USA. At the NIH, I am co-supervised by Dr Daniel Pine at the Section on Development and Affective Neuroscience (SDAN) and Dr Bruno Averbeck at the Laboratory of Neuropsychology, and mentored by Dr Dylan Nielson at the NIMH Machine Learning Team. I am also mentored by Prof Argyris Stringaris at the UCL. My host academic institution is the University of Lisbon in Portugal, where I am a member of Dr Diana Prata's lab.

My big research interest is affective neuroscience. Specifically, I work with children's multimodal data to validate depression measurements and gather insights in topics such as informant discrepancy (parent-child disagreement on whether the child is depressed) (preprint). My research also covers methodology of fMRI, particularly multi-echo fMRI. I am also interested in neuropsychoendocrinology, specifically in the role of oxytocin in various psychiatric disorders and the effect of dopamine and serotonin in affective disorders. I work with large datasets and apply a variety of computational tools to analyze them.

Before joining NIMH, I spent a few years doing social neuroscience research at Diana Prata's Lab. In particular, I looked at the effect of oxytocin on human resting-state EEG (2022 paper in Cerebral Cortex).
Before that, I obtained an MSc in Neurobiology from the University of Porto and an MSc in Artificial Intelligence from the University of Edinburgh, where I analysed human eye-tracking data. From my studies at the University of Edinburgh, I have a background in Natural Language Processing.

I live with bipolar disorder type 1, and I am an active participant of the NIH's DEIA activities.

Outside of research, I enjoy spending time in nature (hiking, backpacking, camping) and board games. I am also a theatre lover and a travel enthusiast.



2020: PhD Fellowship at NIMH, NIH, USA


2012: Honorary Scholarship of the Russian Government, Ministry of Education of Russia, Russia
2010: ITMO University scholarship for excellent academic performance, ITMO, Russia


PhD Biophysics and Biomedical Engineering

[preprint] Zelenina, M., Pine, D., Stringaris, A., & Nielson, D. M. (2023, January 18). Validation of CBCL depression scores of adolescents in three independent datasets.

MSc Neurobiology

Zelenina, M.*, Kosilo, M.*, da Cruz, J., Antunes, M., Figueiredo, P., Mehta, M. A., & Prata, D. (2022). Temporal Dynamics of Intranasal Oxytocin in Human Brain Electrophysiology. Cerebral Cortex. *Equal contribution.

MSc Artificial Intelligence

Bojar, O., Dechterenko, F., & Zelenina, M. (2016). A pilot eye-tracking study of WMT-style ranking evaluation. Translation Evaluation: From Fragmented Tools and Data Sets to an Integrated Ecosystem, 20-26.


Mouromtsev, D., Kozlov, F., Parkhimovich, O., & Zelenina, M. (2013). Development of an ontology-based e-learning system. In International Conference on Knowledge Engineering and the Semantic Web (pp. 273-280). Springer, Berlin, Heidelberg.


PhD Biophysics and Biomedical Engineering | 2020 - | University of Lisbon, Portugal
MSc Neurobiology | 2016 - 2018 | University of Porto, Portugal
MSc Artificial Intelligence | 2013 - 2014 | University of Edinburgh, Scotland, UK
Undergraduate in Translation and Interpreting | 2011 - 2013 | St Petersburg State University, St Petersburg, Russia
Undergraduate in Information Security | 2007 - 2012 | ITMO University, St Petersburg, Russia


Please see my LinkedIn.