Summary
Lasith Adhikari is a data engineer and applied research scientist with nearly a decade of experience building ML-driven healthcare solutions, currently developing AI-enabled patient flow and capacity products at Philips in Cambridge. He combines deep expertise in simulation, statistical modeling, and signal/image processing with hands-on data engineering—designing patented real-time hospital census forecasting and XGBoost-based discharge prediction models that achieved >90% accuracy in production. His background includes leading analytic and engineering teams for prospective hospital deployments, rigorous CI/CD and QA practices, and high-impact academic work (including a top-cited PLOS ONE paper on intraoperative risk prediction). Comfortable at the intersection of research and product, he has a track record of turning complex physiological and time-series data into actionable clinical software. Notably, he bridges theory and practice: his PhD in applied mathematics underpins scalable algorithms used in live hospital systems.
9 years of coding experience
7 years of employment as a software developer
B.Sc. (Hons), Information Technology, First Class, B.Sc. (Hons), Information Technology, First Class at Sri Lanka Institute of Information Technology
GCE O/L, GCE A/L: Mathematics, GCE O/L, GCE A/L: Mathematics at Ananda College, Colombo 10.
B.Sc.(Special), Mathematics, First Class, B.Sc.(Special), Mathematics, First Class at University of Sri Jayewardenepura
Primary education, Grade - 5 Scholarship, Primary education, Grade - 5 Scholarship at Biyagama Kanishta Vidyalaya, Sri Lanka
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of California, Merced
English, Sinhalese