Gregory Kiar
Research Scientist, Senior Scientist Track at Child Mind Institute
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolGregory Kiar is a research scientist with 11 years of experience at the intersection of numerical analysis, neuroimaging, and robust computational science, currently on the Senior Scientist track at the Child Mind Institute. He holds a PhD in Bioengineering from McGill and advanced degrees from Johns Hopkins and Carleton, and builds turn-key tools and pipelines that generate brain connectivity maps from diffusion MRI while quantifying uncertainty and stability in neuroscientific workflows. An active open-source contributor, he has improved image resampling and processing in the widely used nilearn Python library, reflecting practical impact on the neuroimaging community. Gregory combines strong computational statistics and machine learning skills with a track record of teaching, mentoring, and organizing reproducible-science hackathons, and he brings an unusual attention to how unavoidable computing errors influence scientific conclusions. Outside work he applies his analytical instincts to sports analytics, where he enjoys trading game tickets for modeling projects.
11 years of coding experience
4 years of employment as a software developer
Johns Hopkins UniversityBachelor's Degree, Biomedical and Electrical Engineering, Bachelor's Degree, Biomedical and Electrical Engineering at Carleton UniversityDoctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at McGill University
English, Sign languages
Stackoverflow
480reputation
28kreached
18answers
15questions
Github Skills (16)
neuroimaging10
scipy10
python10
image-processing10
brain-imaging10
numpy10
testing10
machine-learning9
android-activity6
windows6
html6
php6
plot6
android6
android-layout6
Programming languages (19)
Github contributions (5)
nilearn/nilearn
Apr 2019 - Apr 2019
Machine learning for NeuroImaging in Python
Role in this project:
Data Scientist
Data ScientistContributions:20 commits, 1 PR, 12 comments in 4 days
Contributions summary:Gregory's contributions center around the `nilearn` library, focusing on image processing and resampling functionalities within the context of neuroimaging. They've implemented optimizations for resampling, particularly when dealing with translation-only transformations. Furthermore, the user has added crop and padding functionalities, along with tests to ensure their correctness and integration with existing resampling methods. Their work demonstrates a solid understanding of image manipulation techniques pertinent to machine learning applications in neuroimaging.
neuroimagingpythondecodingbrain-connectivitymachine-learning
gkiar/jhu-bme
Feb 2015 - May 2015
Contributions:33 commits, 28 pushes, 1 comment in 2 months
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