About

Gabe Nespoli

PhD Candidate

pdf | cv


gabenespoli@gmail.com

www.gabenespoli.com

linkedin.com/in/gabenespoli

github.com/gabenespoli

Toronto, Ontario, Canada

Skills: data analysis, machine learning, signal processing, research design, EEG

Tools: MATLAB, Python, R, Shell, Linux, git, vim


Work Experience

PhD Candidate

2014-2018 | Ryerson University

  • Designs and programs experiments measuring neural (EEG, FFR; BioSemi, Biopac and physiological (SCL, EMG, HR; Biopac) activity
  • Uses signal processing algorithms for analyzing multi-channel biological data (e.g., filtering, time-frequency transforms, independent components analysis)
  • A/B testing to compare different analysis pipelines
  • Gained a reputation in the department for EEG expertise, and consulted on research design and analysis
  • Communicates technical ideas to non-technical audiences with ease
  • Gives biannual workshops on data analysis, signal processing and programming in MATLAB for 5-10 attendees
  • Develops software for analysis and visualization of biological time-series data (link) and for measuring neural entrainment (link), which are in use by others in the department

MA Student

2012-2014 | Ryerson University

  • Designed and programmed EEG studies
  • Quickly learned and served as the resident expert in EEG analysis software (EEGLAB)
  • Developed scripts for extracting spectral features from EEG data, using both Fourier and wavelet methods

Research Operations Coordinator

2010-2012 | Ryerson University

  • Collaborated with researchers on experimental design and analysis
  • Offered training and support on research tools (hardware & software)
  • Managed department resources and liased with manufacturers
  • Teaching assistant for a course on computational methods
  • Managed the purchasing of research tools, including EEG, VR, and eye-tracking

Lab Manager

2007-2010 | Ryerson University

  • Managed, organized and executed daily lab activities
  • Ran participants in neural, physiological, and behavioural experiments
  • Heavily involved in the purchasing of equipment, setup, maintenance, and running of the lab’s recording studio
  • Recorded and edited audio/video stimuli (Pro Tools, Premiere Pro)
  • Developed analysis tools and instructed others on their use (MATLAB, Excel)
  • Gained a reputation as the go-to person for tech and analysis

Education

PhD in Psychology (Neuroscience)

2014-2018 | Ryerson University

Machine Learning Certificate

2017 | Stanford University via coursera.org

MA in Psychology (Neuroscience)

2012-2014 | Ryerson University

BSc in Psychology

2003-2007 | McGill University