Adam Lesnikowski

Adam Lesnikowski is a machine learning scientist with expertise in ML, deep learning, and AI safety.12 He previously worked as a Machine Learning Scientist at NVIDIA45, focusing on problems related to autonomous vehicles and deep active learning.6 Lesnikowski has a strong academic background, having studied at the University of California, Berkeley and Harvard, with a focus on math and logic.23

His research interests include:

1. Machine learning for science and AI alignment3
2. Active learning and deep probabilistic ensembles1
3. Unsupervised distribution learning for anomaly detection in planetary remote sensing1

Lesnikowski has published several papers on topics such as large-scale visual active learning, Bayesian layer positioning in deep learning models, and automated discovery of anomalous features in planetary datasets.1 He has also contributed to workshops at conferences like NeurIPS and ACM.1

Currently, Lesnikowski appears to be working independently or on personal projects related to machine learning for science and AI safety.23 He maintains a presence on social media platforms like Twitter and GitHub, where he shares his work and insights on ML and AI.23