WELCOME TO MY WEBSITE

I am a seasoned statistician, data scientist, and AI/ML researcher with 10+ years of combined industry and academic experience in coding, deploying ML models and algorithms with more focus on data fusion, causal inference, anomaly detection, and Bayesian computations using petascale organic data. I am passionate about developing scalable systems that establish a unified probabilistic framework for mitigating fairness issues and propagating the uncertainty of predictions when training deep generative models, aiming to build more responsible and trustworthy AI system. Find more about me here …

Academic Profiles

Education


Research Interests

  • Responsible, Trustworthy, and Uncertainty-Aware AI
  • Data Fusion and Calibrating Big Data for Population Inference
  • Causal Inference for Experimental and Observational Data
  • Design and Analysis of Complex Sample Surveys
  • Bayesian computations and Bayesian Machine Learning
  • Bayesian Neural Networks and Deep Learning
  • Natural Language Processing, GenAI and LLMs
  • Anomaly Detection in Time Series


Selected Articles