Student Profile

My primary research interests span the health data sciences. I am specifically interested in employing Artificial intelligence (AI), geospatial, and text-mining tools to address socioeconomic disparities across public health outcomes. My ultimate goal is to use fair and impactful AI tobridge inequities surrounding the public health domains.

I was born and raised in Singapore. I completed my BS in Data Science from Penn State University and my MS in the Behavioral and Data Sciences from the University of Warwick (UK). My background has provided me with the opportunity to collaborate with researchers encompassing the fields of computational & information sciences, health & recreational sciences, and decision-making. I am always grateful to my past and present advisors who have invested their time in my research endeavors.

Developing machine learning algorithms and optimization. Current works focus on Gaussian process models and Bayesian active learning applied in active cognitive testing.

I am generally interested in the application of AI and Machine learning to solve challenges with keen interest in achieving successful Human-AI team collaborations.

Research Interests:

I'm interested in how an agent can learn quicker, and more accurately, by interacting with a complex environment. Currently, I'm exploring how causal reasoning can be used to generalize between different environments.

I am interested in exploring the effects of the built environment on public health and on equity. Currently, I am working on a project to model the social and environmental determinants childhood physical activity using agent-based modeling. I am also interested in studying feedback loops in social systems, and previously presented a model of feedback mechanisms in systems of inequity.

Research Interest:

My research focuses on how the structure of a social network can influence opinion dynamics and methods of reducing polarization on networks.

I am interested in how cognitive biases affect our decision-making strategies. My research primarily focuses on how these biases influence choices when people interact with Artificial Intelligence (AI). By understanding how these biases influence this interaction, we can implement AI to help us make optimal choices efficiently while ensuring AI properly considers how these biases affect the overall decision-making process.

I work in Dr. Dosenbach's lab where the lab studies brain development, plasticity and precision mapping using neuroimaging technique like fMRI. I am interested in using big neuroimaging dataset to learn brain behavior correlation and how environmental/SES factors affect brain development.

I am interested in handling complex databases and applying computational methodologies to study many fields. Currently, my research focuses on analyzing datasets of complex connectivity patterns and their relation to health and disease.

I am excited to contribute to technological advances in many different research directions by utilizing my data analysis skills. To be more specific, I am interested in handling complex databases and applying computational methodologies to study many fields. Currently, my research focuses on analyzing datasets of complex connectivity patterns and their relation to health and disease. I graduated from the Ohio State University with a bachelor's degree in data analytics. Through my undergraduate studies, I felt that data science is very useful and interesting. So, I decided to pursue the DCDS PhD at WashU. I like to play many different sports in my free time. Recently, I enjoy playing squash, badminton, tennis, golf and swimming.