Noirrit Kiran Chandra

Noirrit Kiran Chandra

Assistant Professor of Statistics - Mathematical Sciences

Hi, I'm Noirrit, currently working as an Assistant Professor in Statistics. I am looking forward to work with motivated PhD students.

 
972-883-6682
FO 3.608
Personal webpage
ORCID
Tags: Scalable computation Gaussian graphical models Clinical trial designs Model-based clustering Multiple hypothesis testing Applications in genomics and neuroscience Bayesian asymptotics

Professional Preparation

Ph.D. - Statistics
Indian Statistical Institute, Kolkata - 2019
M. Stat. (Master of Statistics)
Indian Statistical Institute, Kolkata - 2013
B. Sc. (Bachelor of Science) - Statistics
Calcutta University - 2011

Research Areas

Graphical models
Clinical trial design
Model-based clustering
Multiple hypothesis testing
Scalable computation
Bayesian asymptotics

Publications

Dependent Bayesian multiple hypothesis testing 2022 - Book Chapter
Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification 2021 - Journal Article
A novel Bayesian multiple testing approach to deregulated miRNA discovery harnessing positional clustering 2019 - Journal Article
Non-marginal decisions: A novel Bayesian multiple testing procedure 2019 - Journal Article
Interrelationship between iodine nutritional status of lactating mothers and their absolutely breast-fed infants in coastal districts of Gangetic West Bengal in India 2018 - Journal Article

Awards

Travel award - International Society for Bayesian Analysis [2022]
Travel award - International Society for Clinical Biostatistics and Australian Statistical Conference [2018]
Student poster award - International Indian Statistical Association [2017]
Research fellowship in Mathematical Sciences - Council of Scientific & Industrial Research, Ministry of Science & Technology, Govt. of India [2013]
INSPIRE scholarship - Higher Education from the Department of Science & Technology, Govt. of India [2008]

Appointments

Postdoctoral Fellow
The University of Texas at Austin [2020–2022]
Postdoctoral Associate
Duke University [2019–2020]

Presentations

Bayesian scalable precision factor analysis for massive sparse Gaussian graphical models
2022/08–2022/08 Joint Statistical Meetings in Washington DC, USA
Bayesian scalable precision factor analysis for massive sparse Gaussian graphical models
2022/06–2022/07 2022 World Meeting of the International Society for Bayesian Analysis in Montreal, Canada
Bayesian scalable precision factor analysis for massive sparse Gaussian graphical models
2021/11–2021/12 Foundations of Objective Bayesian Methodology workshop in Oaxaca, Mexico
A Bayesian nonparametric approach for accelerating clinical trials
2021/08–2021/08 Joint Statistical Meetings Virtual Conference