People
I am an Assistant Professor at the National University of Singapore (NUS), with a primary appointment at the Saw Swee Hock School of Public Health, and joint appointments at Institute of Data Science, and Department of Statistics and Data Science. My research focuses on applying and developing statistical machine learning techniques for the broader and messier world of science and public policy, especially global health. I develop flexible and scalable models for understanding various spatiotemporal data, for example, epidemics (COVID-19, Malaria, HIV) and crime.
My contributions to COVID-19 pandemic modeling, Bayesian inference, computational social science and machine learning earned the prestigious NUS Presidential Young Professorship (PYP) in 2024, NRF Fellowship in 2023, the Blackwell-Rosenbluth Award in 2022, and the SPI-M-O Award for Modelling and Data Support in 2022. In 2022, I co-founded the Machine Learning & Global Health Network, a collaborative initiative spanning three continents that brings together researchers to address global health challenges.
Research Interests:
- Infectious Disease Modelling
- Evolution of Pathogens
- Hierarchial Bayesian Modelling
- Renewal Processes
- Online Information Diffusion
- Stochastic Point Processes
- Generative Deep Learning
I am Imantha Gunasekera, an engineer with strong interest in applying machine learning for problems involving Science and Engineering. My current research focus is on leveraging Self-Supervised Learning techniques to extract image representaions from Earth Observational Imagery which we believe can be used to improve Malaria prediction in a Geospatial setting.
Areas of research that I am interested include Computer Vision, Deep Learning, Optimization, Modelling & Simulation. Outside that I like hiking, photography, running, attending independent music concerts and following football & tennis.
I am Zhi Ling, a research assistant at the Saw Swee Hock School of Public Health, National University of Singapore. I am interested in Bayesian statistics and probabilistic machine learning. My research focuses on developing statistical methods and infrastructure to infer contact patterns at the population level using contact survey data.
I am Conor O’Hare, a research assistant at the Saw Swee Hock School of Public Health under the supervision of Dr Swapnil Mishra. My work explores the phylodynamics of dengue in Singapore. We aim to infer common transmission patterns within and external to Singapore. Furthermore, we hope to identify potential outbreak variants, which would inform an early warning system.
And beyond dengue and phylodynamics? You will probably find me running around the streets of Singapore, reading poetry, or watching yet another tennis tournament!
My name is Andra. I am an infectious disease epidemiologist and modeller with a strong interest in applying and developing statistical and mathematical models to understand the dynamics of infectious diseases through various data sources. My research focuses on developing and applying models (statistical and mathematical) to help inform public health policies and interventions aimed at controlling and preventing the spread of infectious diseases. I have no particular disease of interest, but I have been involved in multiple projects related to malaria, dengue, COVID-19, and diphtheria.
My current research focuses on developing a dengue transmission model to estimate burden, understand dengue transmission dynamics, and estimate the potential impact of novel interventions for dengue in Indonesia at the sub-national level. I am also working closely with Indonesia’s national malaria control program , assisting them with modelling work for their malaria elimination roadmap development.
Outside research, I am strongly interested in capacity development for modelling, especially in low- and middle-income countries. I co-initiated a community of infectious disease modellers in Indonesia called the Indonesia Infectious Disease Modelling Community (INDEMIC). Our community aims to build local expertise of infectious disease modellers in Indonesia, especially focusing on the interface of modelling with public health policy. If you are interested in joining or collaborating, please check out our website: https://sites.google.com/view/indemic/home.
I am Ndeye Licka Dieye, research associate at National University of Singapore. I am interested in infectious diseases modelling and presently exploring tools to better forecast influenza in tropical regions.
Also curious about machine learning algorithms, I am currently using them in a study around dementia to classify study participants with respect to their diagnosis using health, demographic, and MRI data etc.
Beaches are my go-to for reconnecting synapses. Watching the sunrise or sunset on the beach, swimming, taking a boat ride, you name it, as long as there’s open water involved, I’m up for it.
I am Mousumi Roy. I am working as a research fellow at Saw Swee Hock School of Public Health. My primary research focuses on infectious disease modeling with an emphasis on understanding how human mobility influences disease transmission. Currently, I am working on COVID-19, but also keen to explore how mobility impacts the spread of other infectious diseases.
I am Wang Xinyi, a joint PhD student at the National University of Singapore. I’m interested in birds and their pathogens. My research focuses on applying machine learning models and phylogenetic tools to understand host-pathogen co-evolution. Outside desk work, I enjoy bird banding and photography in the wild.