Anindya Bhadra

Anindya Bhadra

Anindya Bhadra; Assistant Professor, Statistics (University of Michigan; Statistics; 2010)

Dr. Anindya Bhadra’s interest in statistics began with a few signal processing classes he took that relied heavily on statistics, while pursuing an undergraduate degree in Electronics and Electrical Communication Engineering at the Indian Institute of Technology.  After working for a year in the telecommunications industry, Anindya felt his true interest was in statistics and decided to pursue a graduate degree.

Anindya studied at the University of Michigan, receiving his PhD in statistics in 2010.  His PhD dissertation work, advised by Prof. Ed Ionides, involved developing computation-intensive Monte Carlo inference procedures for hidden Markov models. Using the techniques he developed, he went on to collaborate with biologists at the University of Michigan to successfully address the role of environmental factors such as rainfall on malaria outbreaks in Northwest India.

After his PhD, Anindya spent two years as a postdoctoral fellow working with Professors Ray Carroll and Bani Mallick at Texas A&M. There his interests broadened to include works on joint variable and covariance selection in high-dimensional genomic data.  Dr. Bhadra joined Purdue Statistics in August of 2012 as an Assistant Professor, because of the strength and very diverse research interests of its faculty members.

At Purdue Statistics, Anindya has been actively developing his research program, while forging some new collaboration with both people at Purdue and outside. One such venture is his recent work on a sparse signal recovery prior called the “horseshoe+ prior.” Anindya collaborates with former Purdue Statistics PhD student Jyotishka Datta and Prof. Nick Polson at the University of Chicago and is excited about the potential of the new work, especially in high-dimensional problems arising in areas such as genomics. Anindya spent the Fall semester of 2014 as a New Researcher Fellow at the Statistical and Applied Mathematical Sciences Institute (SAMSI), which helped in building some new research connections.

In summary, Dr. Anindya Bhadra’s research program is focused on all aspects ofcomputation-intensive Monte Carlo methodology and high-dimensional problems.Detailed description of his research can be found on his webpage at http://www.stat.purdue.edu/~bhadra. He actively welcomes new Purdue collaborations and can be reached via email at:bhadra@purdue.edu.