Jesse Cummings
Greater Boston United States
Summary
🤩
Rockstar🎓
Top SchoolJesse Cummings is a graduate research assistant at MIT CSAIL with six years of experience at the intersection of computer vision, machine learning evaluation, and human psychophysics. He studies dataset curation, evaluation validity, and failure modes in ML models while extending that work to probe neural correlates of image recognition using human fMRI and macaque electrophysiology. Jesse has led large-scale human experiments, implemented and benchmarked vision models, and contributed to methods that directly compare human and model performance. His industry experience includes building algorithms to detect non-IID issues in datasets during a Cleanlab internship. Fluent in both rigorous experimental design and practical tooling, he pairs deep technical training in math and CS from MIT with hands-on data collection and analysis at scale. An uncommon mix of behavioral neuroscience and ML evaluation gives him a unique perspective on what benchmarks actually measure.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree Mathematics and Computer Science, Bachelor's degree Mathematics and Computer Science at Massachusetts Institute of Technology
Github Skills (41)
data-labeling10
data-quality10
labeling10
data-validation10
anomaly-detection10
exploratory-data-analysis10
data-annotation10
datasets10
weak-supervision10
data-cleaning10
data-profiling10
outlier-detection10
active-learning10
data-science9
machine-learning9
Programming languages (3)
Github contributions (5)
dmayo/MVT-difficulty
Jun 2023 - Mar 2024
Contributions:8 pushes, 1 branch in 9 months
jecummin/6.945-Project
Apr 2022 - Oct 2022
Contributions:8 pushes, 1 branch in 5 months
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