Alexander Lavin
Founder, CEO at Pasteur Labs & ISI
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolAlexander Lavin is a founder and CEO with 11 years of hands-on engineering and AI/ML leadership, currently running Pasteur Labs & ISI and advising NASA’s Frontier Development Lab on Digital Twin Earth. He blends research-grade expertise from roles at Numenta and Vicarious with entrepreneurial exits and a patented probabilistic AI for life sciences that led to a J&J acquisition. As a venture partner and angel investor he scouts foundational advances across ML, HW-SW computing, space, and bio, backing startups from 3D bioprinting to causal inference in medicine. His open-source contributions include improving anomaly detection and Bayesian changepoint algorithms in prominent Numenta projects, reflecting deep probabilistic and neuroscience-rooted work. Educated at Carnegie Mellon, Duke Fuqua, and Cornell, he pairs computational mechanics and engineering management with product-minded execution. Based in New York, he favors context-rich introductions and seeks opportunities that meaningfully advance human-centered technology.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Engineering Management, Master's degree, Engineering Management at Duke University - The Fuqua School of BusinessBachelor of Science (BS), Mechanical & Aerospace Engineering, Bachelor of Science (BS), Mechanical & Aerospace Engineering at Cornell UniversityMaster of Science (MS), Computational Mechanics & Robotics, Master of Science (MS), Computational Mechanics & Robotics at Carnegie Mellon University
English, Spanish
Stackoverflow
5,232reputation
905kreached
47answers
96questions
inputstream
top-5%
image
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csv
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Github Skills (29)
bayesian-statistics10
artificial-intelligence10
anomaly-detection10
python10
bayesian10
hierarchical-temporal-memory10
image9
data-structure9
scipy9
algorithm9
algorithms9
numpy9
inputstream9
csv9
data-structures9
Programming languages (9)
Github contributions (5)
numenta/NAB
Dec 2014 - Sep 2016
The Numenta Anomaly Benchmark
Role in this project:
Data Scientist
Data ScientistContributions:161 commits, 206 PRs, 104 pushes in 1 year 8 months
Contributions summary:Alexander primarily contributed to the implementation and refinement of a Bayesian changepoint detection algorithm within the repository. Their work involved modifying and optimizing the algorithm, including efficiency improvements and adjustments to the anomaly scoring mechanism. They also addressed merge conflicts and added comments to the code for better readability and understanding. Furthermore, the user worked on the windowed Gaussian detector, which also involved calculating tail probabilities, addressing bugs, and fixing minor issues with the implementation.
benchmarkanomalymachine-learningnumenta
numenta/nupic-legacy
Mar 2016 - Sep 2016
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Role in this project:Data Scientist
Data ScientistContributions:12 commits, 20 PRs, 132 comments in 6 months
Contributions summary:Alexander primarily focused on modifying the `anomaly_likelihood.py` file, which appears to be involved in anomaly detection algorithms. Their contributions centered on refining the `normalProbability` function, making changes to improve its accuracy and efficiency. The changes involved correcting calculations, optimizing performance, and adjusting unit tests. This suggests an effort to improve the core functionality of the algorithm.
hierarchical-temporal-memoryneocortexartificial-intelligencemachine-intelligence
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