معرفی
Abhijit Mandal is an Associate Professor in the Department of Mathematical Sciences at the University of Texas at El Paso. He serves as the Director of the Data Analytics Lab and holds multiple coordination roles, including overseeing the Graduate Certificate programs in Applied Statistics and Big Data Analytics. His work focuses on developing robust statistical methods to handle noisy data, particularly in the areas of robust inference, nonparametric statistics, and biostatistics.
His research spans robust statistical methodologies, including applications in high-dimensional data analysis, functional regression, and biostatistical modeling of metabolic and inflammatory risks. Key contributions include novel techniques for variable selection, spatial data analysis, and the mitigation of outlier effects in complex datasets. He also explores interdisciplinary applications, such as microglial signaling in metabolic dysfunction and the impact of environmental pollutants on health.
Mandal’s recent publications emphasize robust statistical frameworks for functional data, panel data models, and healthcare analytics. His work often integrates computational methods like the Metropolis algorithm and advanced regression techniques to address real-world challenges. He is a UTEP Edge Curriculum Fellow, reflecting his commitment to innovative teaching and curriculum development in data science.
While no specific scientific awards are listed, his active roles in directing research labs and coordinating academic programs highlight his leadership in fostering data-driven research and education.
In advising, Mandal’s focus is on mentoring students in statistical methodologies applicable to diverse domains. His research teams collaborate across disciplines, including neuroscience and environmental health, as seen in studies linking air pollutants to metabolic disorders through microglial pathways.
