NRF Fellow, Presidential Young (Assistant) Professor, Centre Co-Deputy Director

Swapnil’s research focuses on applying and developing statistical machine learning techniques for the broader and messier world of science and public policy, especially global health. He develops flexible and scalable models for understanding various spatiotemporal data, for example, epidemics (COVID-19, Malaria, HIV), genomics, social media, and crime. My other interest lies in understanding the evolution of viruses during epidemics, and popularity in social media. My work focuses on algorithms to model point processes with classical machine learning techniques as well as using modern deep learning and generative AI modeling.

His contributions to COVID-19 pandemic modeling, Bayesian inference, computational social science and machine learning earned him the prestigious NUS Presidential Young Professorship in 2025, 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, he co-founded the Machine Learning & Global Health network (www.MLGH.net), a collaborative initiative spanning three continents that brings together researchers to address global health challenges.

At CERM, he acts as Centre Co-Deputy Director.

Outside of work, despite all appearances to the contrary, he often runs, usually doing several HMs a year and occasionally FMs. He also likes hiking in the mountains of Japan