Jack Lanchantin
Research Scientist at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJack Lanchantin is a research scientist at Meta AI in New York with 11 years of experience bridging deep academic research and production-scale systems. Trained with a PhD in Computer Science from the University of Virginia, he focuses on reasoning, attention, and memory in AI and was mentored by prominent researchers including Sainbayar Sukhbaatar, Jason Weston, and Lèon Bottou. His work spans postdoctoral research at FAIR to backend engineering contributions on notable open-source projects like facebookresearch/fairo, where he improved memory search mechanics and embodied agent infrastructure. Comfortable moving between experimental models and pragmatic code refactors, he has a track record of enhancing internal system behavior to support richer agent capabilities. Based in NYC, he combines rigorous research rigor with hands-on implementation, often surfacing subtle systems improvements that enable new research directions.
11 years of coding experience
3 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of Virginia
Github Skills (7)
python10
memory-management9
minecraft9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (4)
Github contributions (5)
facebookresearch/fairo
Jan 2022 - Aug 2022
A modular embodied agent architecture and platform for building embodied agents
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 33 commits, 14 PRs in 7 months
Contributions summary:Jack focused on modifying and improving the codebase for the `fairo` project. Their contributions included adjusting configurations for mob generation within the Minecraft environment, renaming a variable, and refactoring the use of a variable. The user also implemented changes to support returning multiple values from memory searches and refactored memory search functions. These updates appear to be concentrated on enhancing the system's internal workings.
agentagentsembodied-agentmodulararchitecture
QData/DeepMotif
Oct 2016 - Apr 2019
Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications
Contributions:32 commits, 30 pushes, 2 comments in 2 years 6 months
deep-learninggenomicstorch
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