Experience

Kernel

• Canada
• Financial Services

• Director, Analysis

  • Feb 2022 - Present

  Culver City, California, United States

• Team Lead, Analysis

  • Feb 2020 - Feb 2022

  Culver City, California, United States

• Research Scientist

  • May 2019 - Feb 2020

  Culver City, California, United States



Cedars-Sinai

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Postdoctoral Research Scientist

  • May 2016 - May 2019

  Neurosurgery Initiated, designed, and led a research paradigm involving state-of-the-art neuroimaging assessment of epileptic patients at Caltech, followed by intracranial recordings in the hospital during invasive seizure monitoring with depth electrodes. Developed Python and Matlab pipelines for signal processing of electrophysiological and neuroimaging signals. Developed Python and Matlab pipelines combining automated and manually assisted annotation of movie stimuli (e.g. faces, bodies… Show more Initiated, designed, and led a research paradigm involving state-of-the-art neuroimaging assessment of epileptic patients at Caltech, followed by intracranial recordings in the hospital during invasive seizure monitoring with depth electrodes. Developed Python and Matlab pipelines for signal processing of electrophysiological and neuroimaging signals. Developed Python and Matlab pipelines combining automated and manually assisted annotation of movie stimuli (e.g. faces, bodies, objects) using deep learning pretrained models and object tracking from computer vision. Designed, programmed and conducted online psychophysics experiments using Javascript. Show less



California Institute of Technology

• United States
• Civic and Social Organizations

• Postdoctoral Research Scientist

  • Jun 2013 - May 2019

  Pasadena, CA, USA Developed and applied Python-based machine learning pipelines (including SVM, Elastic Net), to predict individual differences in intelligence and personality from the fMRI-assessed brain connectivity of human participants in a large publicly available database Used causal discovery methods to infer effective connectivity from observational neuroimaging data. Wrote a widely cited review/opinion on individual differences research with neuroimaging Obtained independent… Show more Developed and applied Python-based machine learning pipelines (including SVM, Elastic Net), to predict individual differences in intelligence and personality from the fMRI-assessed brain connectivity of human participants in a large publicly available database Used causal discovery methods to infer effective connectivity from observational neuroimaging data. Wrote a widely cited review/opinion on individual differences research with neuroimaging Obtained independent research grant from the Brain and Behavior Research Foundation to study individual differences with fMRI in a sample of subjects with Autism Spectrum Disorder Co-authored and obtained two research grants from the National Science Foundation to study individual differences in intelligence and personality using fMRI Taught guest lectures and workshops on advanced neuroimaging analysis Mentored 3 graduate students and 6 undergraduate students on research projects in computational cognitive neuroscience Show less