CV

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Education

• 3 years of intensive undergraduate courses of Maths and Physics for the “Grandes Ecoles”, Lycee Condorcet Paris, 2015
• B.S. in Engineering Science, Gremoble INP Phelma, 2016
• Engineering Diploma in Biomedical Engineering, Gremoble INP Phelma, 2018 (distinction)
• M.res in Neurotechnology, Imperial College London, 2019 (distinction)
• Ph.D in Neurotechnology, Imperial College London, 2023

Work experience

• Summer 2017: Research Assistant on “Innovative Technology for Human Regeneration”
  • Okayama University, Satoh Lab
  • Duties included: Animal Surgery, Imaging, Genetic Engineering
  • Supervisor: Professor Satoh
• Summer 2018: Research Assistant on “A supernumerary Finger to Play the Piano”
  • Imperial College London, Brain and Behaviour Lab
  • Duties included: Experimental Design, Setup Building, C# programming
  • Supervisor: Dr. Faisal
• Spring-Summer 2022: Neuroscience intern
  • INNERVIA-Bioelectronics, Barcelona
  • Duties included: Electrophysiological Data Analysis and Modelling
  • Supervior: Jurrian Bakker

Skills

• Quantitative background:
  • Broad training in engineering, applied mathematics and statistics with focus on biosignal processing, information theory, computation modelling and data analysis.
  • Experience in developing and applying custom machine learning (scikit-learn), topological data analysis (giotto-tda) and deep learning (pytorch) frameworks.
• Programming and computational background:
  • Demonstrable strong programming skills in Python.
  • Basic programming skills in C/C#and Labview.
  • Demonstable experience in deep learning.
  • Demonstrable experience in processing large volumes of data and high-performance computing.
• Speech signal processing: Demonstrable experience in speech signal processing with particular focuson extracting speech features at an acoustic and phonetic level
• Neuroscience tools:
  • Electrophysiological (M/s/EEG) and Nerve Data Analysis and Modelling.
  • Auditory Brainstem Responses (ABR).
  • Machine learning, deep learning and spiking neural networks for biologically-constrained models (brian2).
  • Multisensory Stimulation for Cognitive Experiments.
  • Inertial Measurement Unit (IMU) for Human Machine Interface
• Languages:
  • French, Native Speaker
  • English, Highly Proficient (C2 IELTS)
  • German, Elementary Knowledge (A2)
  • Japanese, Elementary Knowledge (A2)

Publications

The Supernumerary Robotic 3rdThumb for Skilled Music Tasks

J. Cunningham, A. Hapsari, P. Guilleminot, A. Shafti and A. A. Faisal, "The Supernumerary Robotic 3rd Thumb for Skilled Music Tasks," 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), Enschede, Netherlands, 2018, pp. 665-670, doi: 10.1109/BIOROB.2018.8487609.

Playing the piano with a robotic third thumb: Assessing constraints of human augmentation

Shafti, A., Haar, S., Mio, R., Guilleminot, P., & Faisal, A. A. (2021). Playing the piano with a robotic third thumb: Assessing constraints of human augmentation. Scientific Reports, 2021-11.

Enhancement of speech-in-noise comprehension through vibrotactile stimulation at the syllabic rate

Guilleminot, P., & Reichenbach (2022). Enhancement of speech-in-noise comprehension through vibrotactile stimulation at the syllabic rate, PNAS 2022-03

AVbook, a high-frame-rate corpus of narrative audiovisual speech for investigating multimodal speech perception

Varano, E., Guilleminot, P., & Reichenbach, T. (2023). AVbook, a high-frame-rate corpus of narrative audiovisual speech for investigating multimodal speech perception. JASA, 2023-05.

Audiotactile stimulation can improve syllable discrimination through multisensory integration in the theta frequency band

Guilleminot, P., Graef, C., Butters, E., & Reichenbach (2023). Audiotactile stimulation can improve syllable discrimination through multisensory integration in the theta frequency band, Journal of Cognitive Neuroscience, 2023-11

Teaching

Fall 2019

Spring 2020

Fall 2020

Spring 2021

Fall 2021

Service and leadership

• Academic Research (co)supervision
• Co-organizer of the CDT Neurotechnology stand
• Tutor at the Girls who ML workshop (Imperial College Fall edition)