About Hanni:

-Position:

Hanni is a Postdoctoral Research Fellow at Trinity College Institute of Neuroscience and holds a 2-year Government of Ireland Postdoctoral Fellowship from the Irish Research Council.

-Research Interests:

Hanni’s current research focuses on neurocognitive, cognitive and sensory dysfunction in adult ADHD. Her project aims to identify the underlying heritability profile, and the most important factors and predictors, of adult ADHD. Hanni has a keen interest in multimodal assessment and monitoring of cognitive and sensory function in neurological and psychiatric conditions. Her other research interests include electrophysiology, neuropsychology and multisensory person perception.

-Education:

Hanni received her PhD in Neural Engineering in 2013 from Trinity College Dublin, and her MSc degree in Psychology in 2008 from University of Turku, Finland. Hanni also received FETAC Certificate in Project Management in 2016 and Postgraduate Diploma in Statistics in 2011.

-Experience:

Hanni held a Postdoctoral Research Fellow position in Trinity College Institute of Neuroscience in 2012-2015 working in SFI-funded ‘Socializing agents’ project that investigated how person characteristics are perceived from faces, voices and bodies. She also held Research Assistant positions in the Neural Engineering group in 2008-2009, and in PET centre and Clinical Research Services in Turku, Finland, in 2005-2006.

Hanni’s other work experience includes being an Occasional Lecturer in UCD School of Psychology in 2014-2015, and working as a Psychology Trainee in the Neurological Rehabilitation ward and the Child Neurology unit of Turku University Hospital in Autumn 2007. During her undergraduate studies she assisted in various research projects focusing on memory, Alzheimer’s Disease and Neglect Disorder. She also worked in a psychological recruitment company Psykologitiimi Päämäärä Oy.

Hanni’s first author publications:

Kiiski, H., Jollans, L., Ó Donnchadha, S., Nolan, H., Lonergan, R., Kelly, S., O’Brien, M. C., Kinsella, K., Bramham, J., Burke, T., Hutchinson, M., Tubridy, N., Reilly, R. B., & Whelan, R. (2018). Machine learning EEG to predict Cognitive Efficiency and Processing Speed over a 2-year Period in Multiple Sclerosis Patients. Brain topography, 1-18. doi: 10.1007/s10548-018-0620-4

Kiiski, H. S. M., Cullen, B., Clavin, S. L., & Newell, F. N. (2016). Perceptual and social attributes underlining age-related preferences for faces. Frontiers in Human Neuroscience, 10, 437. doi: 10.3389/fnhum.2016.00437

Kiiski, H. S. M., NiRiada, S., Lalor, E.C., Gonçalves, N.R., Nolan, H., Whelan, R., Lonergan, R., Kelly, S.,  O’Brien, M.C., Kinsella, K., Bramham, J., Burke, T., Ó Donnchadha, S., Hutchinson, M., Tubridy, N., Reilly, R.B. (2016). Delayed P100 Latencies in Multiple Sclerosis: The Potential Clinical Utility of Visual Evoked Spread Spectrum Analysis. PLOS ONE, doi: 10.1371/journal.pone.0146084

Kiiski, H., Hoyet, L., Woods, A. T., O’Sullivan, C., & Newell, F. N. (2015). Strutting Hero, Sneaking Villain: Utilising Body Motion Cues to Predict the Intentions of Others. ACM Transactions on Applied Perception, 13(1). doi: 10.1145/2791293

Kiiski, H., Reilly, R.B., Lonergan, R., Kelly, S., O’Brien, M., Kinsella, K., Bramham, J., Burke, E.T., O’Donnchadha, S., Nolan, H., Hutchinson, M., Tubridy, N, & Whelan, R. (2012). Only low frequency event-related EEG activity is compromised in multiple sclerosis: insights from an independent component clustering analysis. PLOS ONE, 7(9), e45536. doi:10.1371/journal.pone.0045536

Kiiski, H., Reilly, R.B., Lonergan, R., Kelly, S., O’Brien, M., Kinsella, K., Bramham, J., Burke, E.T., O’Donnchadha, S., Nolan, H., Hutchinson, M., Tubridy, N, & Whelan, R. (2011). Change in PASAT performance correlates with change in P3 ERP amplitude over a 12-month period in multiple sclerosis patients. Journal of Neurological Sciences, 305(1-2), 45-52. doi:10.1016/j.jns.2011.03.018

Kiiski, H., Whelan, R., Lonergan, R., Nolan, H., Kinsella, K., Hutchinson, M., Tubridy, N., Reilly, R.B. (2010). Preliminary Evidence for Correlation Between PASAT Performance and P3a and P3b amplitudes in progressive multiple sclerosis. European Journal of Neurology. 18(5), 792-795. doi:10.1111/j.1468-1331.2010.03172.x

Kiiski, H., Lonergan, R., Whelan, R., Nolan, H., Kinsella, K., O’Brien, M., Reilly, R.B.,  Hutchinson, M., & Tubridy, N. (2009). P3 abnormalities in multiple sclerosis as a function of oligoadenylate synthetase genotype. Irish Journal Of Medical Science, 179(3), S123.

Hanni’s CV:

Contact me

hanni (dot) kiiski (at) gmail (dot) com

Professional profiles: