cv

My Resume... just in case you are thinking of hiring!

General Information

Full Name Sayantan Mandal
Languages English, French, Hindi, Bangla

Education

  • 2024
    PhD
    Université Concordia, Montréal, Quebec.
    • {"Dissertation Title"=>"Ghost in the Cell: Representing and Computing Phonology in the Brain."}
    • {"Supervisors"=>["Prof. Tobias Scheer (CNRS, France)", "Prof. Charles Reiss (Concordia, Montréal)"]}
    • {"Specialization"=>["Experimental Neurolinguistics", "Phonological Theory as Cognitive Science", "Electro-encephalography (EEG)", "Functional Magnetic Resonance Imaging (fMRI)", "Generative Theory and Minimalism", "Biolinguistics & Psycholinguistics"]}
  • 2017
    Post-Graduate Researcher
    MARCS Institute of Brain, Behavior and Development, Sydney, Australia
    • {"Project Title"=>"Bilingual Phonology, Dichotic Listening & Hemispheric Integration of Information in Language Perception & Production."}
    • {"Supervisors"=>["Prof. Catherine T. Best (MARCS)", "Prof. Anne Cutler (MARCS; Max Planck Institute of Psycholinguistics)", "Prof. Jason Shaw (MARCS; Yale University)"]}
    • {"Specialization"=>["Experimental Psycholinguistics", "Cognitive Psychology and Linguistic Theory", "Speech perception", "Behavioral methods"]}
  • 2013
    MA HONOURS
    The University of Auckland, New Zealand
    • {"Dissertation Title"=>"Coronal Obstruents and Constraint Interactions in Bangla."}
    • {"Supervisors"=>"Prof. Jason Brown"}
    • {"Specialization"=>["Phonological Theory", "Optimality Theory", "Linguistic Field Work", "Endangered and Indigenous Language Documentation"]}
  • 2010
    M.A.
    E.F.L. University, India
    • {"Dissertation Title"=>"Bangla coronal assimilation."}
    • {"Supervisors"=>"Prof. K.G. Vijaykrishnan"}
    • {"Specialization"=>["Phonological Theory", "Generative Grammar"]}

Experience

  • 2024 - Present
    Assistant Professor
    Department of Psychology, Krea University, India
  • 2023 - Present
    MITACS Globalink Research Fellow
    Centre national de la recherche scientifique, CNRS (Nice, France)
    • {"Project Title"=>"From Mind 2 Brain."}
    • {"Description"=>"Isolating the neurophysiological signatures unique to phonological computations."}
    • {"Supervisor"=>"Prof. Tobias Scheer"}
  • 2022-2023
    Research Assistant
    Université Concordia, Montréal, Quebec
    • {"Project"=>"Neural network learning algorithms for an NLP speech analysis system based on photonics with mental health diagnosis applications."}
    • {"Supervisor"=>"Prof. Charles Reiss"}
  • 2020 - 2023
    Graduate Teaching Assistant
    Université Concordia, Montréal, Quebec.
  • 2017
    Professional Teaching Fellow
    The University of Auckland, New Zealand
  • 2017
    Research Assistant
    The University of Auckland, New Zealand
    • Laboratory Phonetics

Open Source Projects

  • 2023-now
    Mind-2-Brain
    • A Python Script for EEG stimulus presentation with timing accuracy checks using photodiodes.
  • 2023
    fMRI-Block-Related-Minimal-Pair-Protocols
    • A set of GNU Octave scripts for visual, perceptual and production experiments using fMRI.
  • 2022-now
    The-Summer-of-Python
    • A customized forked course for programming in Python for cognitive scientists.

Honors and Awards

  • 2022
    • Mitacs Globalink Research Award (IT34244)
  • 2019
    • Louise Dandurand Scholarship in Interdisciplinary Studies, Concordia University, Montreal. [Valued At: CAD. 15,000.]
    • Concordia International Tuition Award of Excellence, Concordia University, Montreal. [Valued At: CAD. 43,211]
  • 2018
    • Norwegian Summer Institute of Language and Mind Student Scholarship. [Valued At: 8,900 KRON]
  • 2016
    • Research Bursary, University of Auckland (Declined). [Valued At: NZD. 15,000].
  • 2015
    • MARCS Professional Development Award, MARCS Institute, Western Sydney University. [Valued At: AUD. 5000]
  • 2014
    • MARCS Research Training Award, MARCS Institute, Western Sydney University. [Valued At: AUD. 5000].
  • 2013
    • MARCS HDR Scholarship, MARCS Institute, Western Sydney University. [Valued At: AUD. 93,600]

Academic Interests

  • Cognitive Neuroscience
    • Neurobiology of Language.
    • Transduction from sensory data to algebraic representations in the brain.
    • Neural correlates and neurophysiological signatures of phonological primes and computations.
    • Electrophysiological (EEG) Methods in Cognitive Neuroscience of Language.
    • functional Magnetic Resonance Imaging (fMRI).
  • Theories of Cognition
    • Computational Theory of Mind.
    • Modularity of Mind.
    • Cognition as Computation.
    • Minimalist Grammars.
    • Integrated Connectionist-Symbolism.
  • Biolinguistics.
    • Animal comparanda for phonological computations.
    • Evolution and origins of the faculty of language.
    • Role of Third-Factors in Phonology.
    • Universal Generative Faculty.
    • Xenolinguistics.
    • Innate Endowments in Phonology.
    • Articulatory Phonetics.
    • Perceptual Assimilation and Sound Change.
  • Linguistic Theory.
    • Phonological Theory, particularly (Radically) Substance-Free Phonology.
    • Phonology and Phonetics Interface & Theories of Sensory Transduction.
    • Government Phonology & Strict CV.
    • Universal Boundary Theory & Flat Phonology.
    • Computational Models of Speech Perception and Production.
    • Mathematical Linguistics & Sub-regular Phonology.
    • Minimalism.

Academic & Research Skills

  • Neuroimaging
    • fMRI: Competent in General Electronics MR-750 scanner operation.
    • Versatile in fMRI data analyses softwares, FMRIB-FSL and SPM-12.
    • EEG: Fully trained in both Compumedics Neuroscan and Biosemi systems
    • Competent in electro-physiological data analyses suites, both MNE and EEGLab.
  • Quantitative and Mathematical
    • Bayesian and Stochastic Methods in Cognitive Science.
    • Descriptive and Inferential Statistics.
    • Correlations Analyses.
    • Classification and Regression Trees (CART).
    • Cluster Analysis.
    • Autoregressive Integrated Moving Average (ARIMA)
  • Computational and Programming
    • Advanced skills in Python and R.
    • Versatile in e-Basic and E-Prime.
    • TensorFlow and Keras.
    • MNE-Python.
    • PyTorch.
    • Versatile in the Linux-Kernel and Bash-Shell.
    • Autoregressive Integrated Moving Average (ARIMA)