Curriculum Vitae – Jeff Hanna - Fachbereich Philosophie und

Curriculum Vitae – Jeff Hanna
Personal Information
Name: Jeffrey Scott Hanna
Birthdate: Dec. 9, 1980
Birthplace: Mobile, Alabama, USA
Nationality: USA
Residence: Berlin, Germany (since 2012)
Email: [email protected]
Harding University
Oxford University
Cambridge University
Cambridge University
Bachelor of Arts
Master of Philosophy
Master of Philosophy
Doctor of Philosophy
Biblical Philology
Cuneiform Studies
Applied Linguistics
Research Interests
My work is primarily concerned with measuring the realisation of language in the human brain,
with particular focus on second language learning and morphology. Ambitions for future research
include the application of more sophisticated techniques of brain data analysis toward testing
newer linguistic theories, which see language less as a collection of isolated faculties, and more as
an integrated information stream, fundamentally incorporated into the entire human cognitive
University of Cambridge
PhD Student
and Medical Research Council – Cognition and Brain Sciences Unit (MRC-CBU)
Project which used MEG and behavioural methods to study the syntactic capabilities of non-native
speakers of English of varying degrees of proficiency. Supervisors: John Williams and Friedemann
Université catholique de Louvain
Post-doctoral researcher
Designed, carried out, and analysed EEG experiments investigating the processing of syntax,
among adults, typically developing children, and children with language or other psychological
disorders. Supervisor: Heather van der Lely†
Freie Universität Berlin
2012-present Wissenschaftlicher Mitarbeiter
Research, management of EEG lab, and teaching, in service of the Brain Language Laboratory and
the Institut für Deutsche und Niederländische Philologie. Supervisor: Friedemann Pulvermüller
Languages: English (native speaker), German (advanced-intermediate)
Information technology: Matlab (expert), Python (intermediate), Linux, Windows,
advanced problem-solving skills with both hardware and software, proficient with
language corpus use.
Neuroimaging: Highly proficient with EEG and MEG, conversant with advanced methods (source
localisation, oscillations, signal decomposition e.g. ICA). Highly proficient with SPM, EEGLAB, and
Statistics: General linear model, factor analysis and related methods.
Recent Conferences
Neurobiology of language, 2014, Amsterdam: “Sicherheit and Sauberkeit in the brain: evidence that
complex words are handled simply.” Poster presentation.
MMN Conference, 2015, Leipzig: “MMN distinguishes rule-based and arbitrary processes in
language.” Poster presentation.
MMN Conference, 2015, Leipzig: “Can the MMN measure proficiency in a second
language?” Symposium presentation.
Academic Publications
Hanna, J., Mejias, S., Schelstraete, M.-A., Pulvermüller, F., Shtyrov, Y., & Van der Lely, H. K. (2014).
Early activation of Broca’s area in grammar processing as revealed by the syntactic mismatch
negativity and distributed source analysis. Cognitive neuroscience, 5(2), 66-76.
Hanna, J., & Pulvermüller, F. (2014). Neurophysiological evidence for whole form retrieval of
complex derived words: a mismatch negativity study. Frontiers in human neuroscience, 8:886. doi:
Hanna, J., Shtyrov, Y., Williams, J., & Pulvermüller, F. (2016). Early neurophysiological indices of
second language morphosyntax learning. Neuropsychologia, 82, 18-30. doi:
Hanna J, Cappelle B, Pulvermüller F. (in preparation) Spread the word: MMN brain response
reveals whole-form access of discontinuous verbs.
Hanna J, Cappelle B, Pulvermüller F. (in preparation) MMN reflects entropy and conditional
probability of separable prefix verb morphemes.
Courses Taught
Aufbauseminar - Einführung in die Neurolinguistik (Introduction to neurolinguistics)
Vertiefungsseminar – Morphologie (Advanced seminar, morphology)
Vertiefungsseminar – Theorien über die Grammatik (Advanaced seminar, theories of grammar)
Vertiefungsseminar – Neurosemantik und –pragmatik (Advanced seminar, neurosemantics and
Software developed
Pointstool: A programme which displays the data from 3d electrode position tracker systems, and
enables quick, intuitive identification and removal of erroneous data points. The programme then
extrapolates the location of all electrodes from a smaller sample, and integrates the results into
SPM for source localisation.
Balancer: A programme which takes a large set of data, where each member has n characteristics,
and finds a subset where variance on these characteristics are simultaneously minimised or
maximised as desired, by realising set members as points in n-dimensional space, fitting ellipsoids
onto possible subsets, and measuring goodness of fit of all subsets.