causal-inference
(4)
JustAI
JustAI (formerly Just Words, legally Choice AI Inc.) is a San Francisco AI-native marketing platform that turns lifecycle content into an always-on experimentation engine. Its AI agents - strategy, creative, decisioning and data - predict high-value moments, generate on-brand message variants across email, SMS and push, test them against real users, and shift traffic to the winners while compounding learnings across campaigns. Founded in 2024 by Neha Mittal (ex-Twitter and Pinterest growth lead) and Jeff Hara, the company graduated from Y Combinator's Winter 2024 batch and works with consumer brands including Grammarly, ClickUp, Notion, Lemonade, Coursera and Thumbtack.
Pasteur Labs & ISI
Pasteur Labs & ISI is a New York-based public-benefit deep-tech company building 'Simulation Intelligence' - the systematic merger of AI, physics simulation, and scientific computing. Its AI-native, GPU-accelerated, end-to-end differentiable physics platform gives engineers and scientists an in-silico playground to run thousands of what-if scenarios and shrink the gap between digital models and physical reality. Founded in 2021 by AI researcher Alexander Lavin and staffed by veterans of DeepMind, NASA, CERN, Tesla, Nvidia and Ansys, the company targets industrial R&D, energy, climate, and space & defense, and stewards the open-source Tesseract framework for differentiable scientific computing.
Alexander Lavin
Alexander Lavin is an AI researcher and former rocket scientist who founded Pasteur Labs and the Institute for Simulation Intelligence (ISI) in New York. He is building what he calls 'the IDE for reality' - simulation engines fused with AI that let scientists and engineers run experiments in software before touching the physical world. A Forbes 30 Under 30 honoree and lead author of the landmark 'Simulation Intelligence' paper, Lavin's path runs from lunar rovers and Blue Origin rocket structures through Numenta, Vicarious, and a probabilistic-medicine startup acquired by Johnson & Johnson, to a focused-research mission aimed at Nobel-Turing breakthroughs in energy, climate, and fusion.
Osman Mian
Osman Ali Mian is an early-career AI researcher specializing in causal discovery and trustworthy machine learning. He completed his PhD magna cum laude at CISPA Helmholtz Center for Information Security (Saarland University, Germany) and is now a postdoctoral researcher at the Institute for Artificial Intelligence in Medicine (IKIM) in Essen. He has published at top-tier venues including AAAI, ICML, AISTATS, and KDD, and won an Outstanding Paper Award at AAAI 2026 — marking him as a rising star in causal ML.