About

Aritra Guha is a Senior Inventive Scientist at AT&T Labs, Research with a background in statistics and a keen interest in Bayesian methodology, machine learning, data science, and artificial intelligence. With over 2 years of relevant experience, he has worked on developing Bayesian models for understanding ecological diversity of Fungi species during his time as a Postdoctoral Associate at Duke University and as a Doctoral Student at the University of Michigan. Aritra's research interests are focused on hierarchical models, Bayesian nonparametrics, machine learning algorithms, optimization methods, and autonomous vehicles. He is skilled in research and data analysis and has a strong understanding of statistical models and their applications. He has also published research papers in top-tier conferences and journals. Aritra holds a Doctor of Philosophy (Ph.D.) in Statistics from the University of Michigan, where he also earned a Master’s Degree in Statistics. He also has a M.Stat in Mathematical Statistics and Probability and a B.Stat(Hons.) in Statistics from the Indian Statistical Institute. Apart from his academic achievements, Aritra is a Research Scientist, Data Scientist, and AI and ML expert. He has experience working with large datasets and has a solid understanding of statistical programming languages such as R, Python, and SQL. He is also proficient in using tools like TensorFlow, Keras, and PyTorch for machine learning and deep learning. Overall, Aritra is a talented and accomplished scientist with a passion for research and a strong background in statistics. He is a valuable asset to any team looking to solve complex problems using data-driven approaches.