Summary
Michele Merler is a Principal Research Scientist at IBM Research AI in New York with 15 years of experience building and leading research in deep learning, computer vision, multimodal analytics and NLP. He currently drives CodeLLM development—covering data preparation, training, model merging and evaluation—and builds interpretable models for ALS detection and monitoring. His work spans neural architecture search, knowledge distillation and large-scale video/image indexing, with a long history of sports video analytics, action recognition and medical imaging applications. A Columbia PhD who cut his teeth on multi-modal indexing of unstructured videos, Michele blends rigorous academic grounding with hands-on systems research at scale. Colleagues know him for bridging applied ML and interpretable modeling, often tackling domain-specific evaluation challenges that reveal real-world impact beyond benchmark scores.
15 years of coding experience
1 year of employment as a software developer
BS and MS, Tecommunications Engineering, BS and MS, Tecommunications Engineering at Università di Trento
University of California, San Diego
PhD, Computer Science, PhD, Computer Science at Columbia University
MS, Computer Science, MS, Computer Science at Columbia Engineering
English, Italian