Todos Los Santos Lake, Puerto Varas, Chile
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Saptati Datta
Ph.D. Student, Department of Statistics
Texas A&M University
Saptati Datta
Ph.D. Student, Department of Statistics
Texas A&M University
I am a 5-th year Ph.D student at the Department of Statistics, Texas A&M University, working under the supervision of Dr. Valen E. Johnson. My research interest broadly encompasses Machine Learning, Analysis in high dimensions, and Robust Bayesian Inference. My methodological research focuses on Probablistic Inference and Bayesian hypothesis testing with their applications in Differential Privacy, Quantitative Psychology, Meta-analysis, and Meta-Learning.
I am a 5-th year Ph.D student at the Department of Statistics, Texas A&M University, working under the supervision of Dr. Valen E. Johnson. My research interest broadly encompasses Machine Learning, Analysis in high dimensions, and Robust Bayesian Inference. My methodological research focuses on Probablistic Inference and Bayesian hypothesis testing with their applications in Differential Privacy, Quantitative Psychology, Meta-analysis, and Meta-Learning.
I am deeply passionate about Indian Classical Music. I am a disciple of the Agra Gharana maestro, Ustad Waseem Ahmed Khan. I also enjoy traveling and attending classical music concerts.
Current Research Interests
Current Research Interests
Bayesian Hypothesis Testing, Objective Bayesian Tests
Differential Privacy
Meta-learning, Transfer Learning, and Multi-task Learning
Latent factor models
Robust Bayesian Inference - Empirical Likelihood and Sparsely Permuted Data
Quantitative Psychology
Future Research Endeavors
Future Research Endeavors
Data Fission and Bayesian Model Assessment
Adaptive Clinical Trials, De-intensification Studies, and Bayesian Sensitivity Analysis
Application of Differential Privacy
Application of Meta-Learning, Transfer Learning and Multi-task Learning in presence of Data Scarcity and Heterogeneity
Bayesian Factor Models, Combinatorial Factor Models
I am currently in the job market looking for Postdoctoral positions and Assistant Professor positions in Statistics, Biostatistics, and Machine Learning.
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