Description: Author: Dilruk Perera, Content: Artificial Intelligence (AI), Machine Learning, Data Science
research (8551) machine learning (3372) data science (1579) artificial intelligence (ai) (15) artificial intelligence (ai)
Dilruk Perera POSTDOCTORAL RESEARCH FELLOW ABOUT ME EDUCATION ACADEMIC EXPERIENCE PROFESSIONAL EXPERIENCE PUBLICATIONS AWARDS & SCHOLARSHIPS TEACHING & MENTORING PROJECT SUPERVISION RESEARCH GRANTS ACADEMIC SERVICES EXTERNAL PROJECTS Contact ME I'm Dilruk Perera I’m a Postdoctoral Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. I completed my PhD in 2020 at the School of Computing, National University of Singapore.
My research focuses on developing machine learning and artificial intelligence solutions to understand and model users in complex and highly dynamic environments such as healthcare and social networks to improve the quality of life.
In healthcare research, I’m focusing on modelling dynamic patient phenotypes and disease progression trajectories to develop effective and personalized treatment regimens for complex diseases such as sepsis and diabetes. My current work introduces novel Reinforcement Learning and Deep Learning algorithms to learn effective treatment policies, using imperfect clinical data .