Scholar
Joshua T. Vogelstein
Google Scholar ID: DWPfdT4AAAAJ
Dept of Biomedical Engineering, Johns Hopkins University
natural intelligence
artificial intelligence
biomedical data science
network science
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Citations & Impact
All-time
Citations
11,291
H-index
47
i10-index
117
Publications
20
Co-authors
149
list available
Contact
Email
kbiasuc1@jhu.edu
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Publications
5 items
Vectorized Adaptive Histograms for Sparse Oblique Forests
2026
Cited
0
Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures
2025
Cited
0
Prospective Learning in Retrospect
2025
Cited
0
Simplest Streaming Trees
2021
Cited
0
AutoGMM: Automatic and Hierarchical Gaussian Mixture Modeling in Python
2019
Cited
9
Resume (English only)
Academic Achievements
Co-developed an ML method in 2015 that became Google's default tabular ML method in 2023
Co-authored a state-of-the-art continual learning algorithm in 2020, further advanced at Collas '22, NeurIPS '24, and AGI '25
Co-senior author of the first full brain connectome published in Science in 2023, named NatGeo’s top medical breakthrough of the year
Co-authored a monograph on graph machine learning published by Cambridge University Press in 2025
Co-authored the first transcoded neural network algorithm presented at AGI 2025, reported to be 100,000x more efficient than Transformers
Co-authors
149 total
Carey E. Priebe
Professor of Applied Mathematics and Statistics, Johns Hopkins University
Randal Burns
Professor of Computer Science, Johns Hopkins University
Michael Milham
Child Mind Institute, Nathan Kline Institute
Co-author 4
Co-author 5
Youngser Park
Research Scientist, Johns Hopkins University
Cencheng Shen
University of Delaware
R. Jacob Vogelstein
Mind-X Corp, FlashX LLC, Camden Partners Nexus
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