Anish Lakkapragada
Machine learning researcher and software engineer
New Haven, Connecticut
Joined March 2026
Summary
Active machine learning researcher with peer-reviewed and preprint publications exploring theoretical and applied problems, including OOD detection and singular learning theory. google+2
Applied ML practitioner working on healthcare-relevant projects—contributed code and results for automated detection of autism-related behaviors and participated in research internships translating models into practice. github+2
Open-source developer and educator: builds tools and libraries (SeaLion) to teach ML concepts, and publishes developer projects and demos to engage learners and contributors. github+2
Student product-maker and campus technologist who prototypes campus-facing apps (e.g., Yale Hospitality Wrapped) and leads student tech initiatives. yaledailynews+2
Enthusiastic photographer and birder who curates a substantial Unsplash portfolio alongside technical work. unsplash
Work
Education
Projects
Writing
Using physics-inspired Singular Learning Theory to understand grokking & other phase transitions in modern neural networks
January 1, 2025Empirical study applying Singular Learning Theory (SLT) to understand phase transitions like grokking in neural networks; measures scaling laws and local learning coefficients across controlled models.
Comprehensive OOD Detection Improvements
January 1, 2024Paper addressing out-of-distribution (OOD) detection methods, proposing improvements combining representation- and logit-based approaches and presenting DICE-COL modification for Directed Sparsification.
The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study
January 1, 2022Study demonstrating feasibility of deep learning methods to detect hand flapping from crowdsourced videos as a step toward scalable autism-related behavior detection (JMIR Biomedical Engineering publication).