Dr. Mandal develops robust statistical methods that focus on eliminating the effect of outliers in noisy data. His background involves robust inference, big data analysis, non-parametric statistics and biostatistics.

• UTEP Edge Curriculum Fellow from Provost’s Faculty Fellow Program (01/01/2024-12/31/2024)
• UTEP Edge Curriculum Fellow from Provost’s Faculty Fellow Program (01/01/2023-12/31/2023)

• Ph D in Statistics, Indian Statistical Institute (2010)
• MS in Statistics, Indian Statistical Institute (2005)

• Exploring Socio-Behavioral Correlates of Metabolic and Inflammatory Risk in a University Sample Residing Along the U.S./Mexico Border: A Pilot Study Concomitantly Collecting Survey Data, Blood and Hair Samples, and Physical Measures International Journal of Environmental Research and Public Health 22 4 (2025), Gabriel Frietze, Cai Xu, Bibiana M. Mancera, Elisa Robles Escajeda, Alyssa A. Martinez, Michelle Gil, Diana P. Flores, Khodeza Begum, Panfeng Liang, Abhijit Mandal, Michael Nsiah-Nimo, Nilotpal Sanyal, Ming-Ying Leung, Michael Kenney, Robert A. Kirken.
• Robust Variable Selection in High-dimensional Nonparametric Additive Model. Annals of the Institute of Statistical Mathematics (in press), Suneel Chatla, Abhijit Mandal.
• Enhancing Spatial Functional Linear Regression with Robust Dimension Reduction Methods. Journal of Multivariate Analysis (in press), Ufuk Beyaztas, Abhijit Mandal, Han Lin Shang.
• Locally Sparse and Robust Partial Least Squares in Scalar-on-Function Regression. Statistics and Computing 34 5 (2024), Sude Gurer, Han Lin Shang, Abhijit Mandal, Ufuk Beyaztas.
• Microglia Mediate Metabolic Dysfunction from Common Air Pollutants through NF-κB Signaling. Diabetes 73 12 (2024), Lucas Debarba, Hashan Jayarathne, Lukas Stilgenbauer, Ana Terra dos Santos, Lisa Koshko, Sydney Scofield, Ryan Sullivan, Abhijit Mandal, Ulrike Klueh, Marianna Sadagurski.

• Machine Learning Predictions for Prostate Cancer Progression (2024), Kelvin Ofori-Minta, Abhijit Mandal, Ming-Ying Leung.
• Robust Variable Selection in High-dimensional Nonparametric Additive Model (2024), Volume Fairfax, VA, Suneel Chatla, Abhijit Mandal.
• A generalized likelihood ratio test and its applications in genetics and non-linear regression (2023), Volume University of South Florida, Abhijit Mandal.
• Statistical Analysis of a Nonparametric Test for Genome-Wide Association Studies (2023), Volume University of Texas Health at San Antonio, Abhijit Mandal.
• Robust Estimation for the Function-On-Function Regression Model (2022), Volume Joint Statistical Meeting, Washington, D.C., Abhijit Mandal.

• NIH R01: Benzene exposure promotes neuro-inflammation and metabolic dysregulation (Role: Co-I)
• Internal: Robust Variable Selection for High-dimensional Data (Role: PI)
• NIH R01: Interplay between hypoxia and oxidative phosphorylation in herpes stromal keratitis (Role: Statistician)