Summary
Lakmal Meegahapola is a research scientist with 10 years of experience at the intersection of multimodal sensing, digital health, and responsible AI, currently researching AI safety and LLM agents at Nokia Bell Labs. He builds robust clinical and everyday-life models that handle distribution shift using domain adaptation, test-time adaptation, and multi-task learning, and has led the PULSE benchmark evaluating LLMs on ICU time-series tasks. His work spans end-to-end studies—from designing longitudinal mobile and wearable sensing studies to modeling, benchmarking, and deployment—and he routinely collaborates with clinicians, ethicists, and behavioral scientists. An EPFL PhD recipient with a PhD Thesis Distinction Award (one of four in his school) and publications at ACM CHI, IMWUT, MobiSys and AAAI/ACM AIES, he also serves as associate editor and program committee member for leading venues. He has been recognized as a Rising Star in Cyber-Physical Systems and winner of Young Investigator and research awards, reflecting both scholarly impact and real-world relevance. Less obvious: he combines deep ML and LLM expertise with hands-on experience running in-the-wild studies (including multimodal dog and human sensing) that inform safer, human-centered AI for health.
10 years of coding experience
8 years of employment as a software developer
BSc Engineering, Computer Science and Engineering (1st Class Hons), BSc Engineering, Computer Science and Engineering (1st Class Hons) at University of Moratuwa
Top CIMA Completed, Business Administration and Management, General, Top CIMA Completed, Business Administration and Management, General at CIMA
Advanced Level - GCE A/L, PHYSICAL SCIENCES, Advanced Level - GCE A/L, PHYSICAL SCIENCES at Dharmaraja College - Kandy
PhD, Electrical Engineering and Computer Sciences, PhD, Electrical Engineering and Computer Sciences at EPFL
English, Sinhala