Shrabanti Chowdhury, PhD

Department of Genetics and Genomic Sciences

Icahn Institute for Genomics and Multiscale Biology

New York, NY 10128, USA


Biography

Dr. Shrabanti Chowdhury currently a Postdoctoral research fellow at Icahn School of Medicine at Mount Sinai (ISMMS), NY, USA, working under the supervision of Dr. Pei Wang. Prior to joining ISMMS, She worked as a Postdoc fellow at Wayne State University School of Medicine for a year and a half. She had received her PhD in 2016 from University of California Riverside (UCR) (2011-2016). I worked on the design of factorial experiments under the supervision of Dr. Subir Ghosh in my PhD dissertation. She earned my Masters degree in Statistics from a renowned institute in India: Indian Institute of Technology Kanpur (IITK) in 2011.

For her academic excellence, She has received several awards including Dean's distinguished fellowship award (UCR), D.V. Gokhale international grant in Statistics (UCR), Academic excellence award (IITK) and several travel awards for attending international workshops and conferences. I have been invited several times at renowned conferences for presenting my research work. She has also organized a conference session in the world-famous Statistical conference JSM (Joint Statistical Meeting).

She currently holds editorial board member for the journal "Biostatistics and Epidemiology International Journal" and have referred (review responsibility) research papers for journals (Plos One, Pharmaceutical Statistics, Statistics and Probability Letters, Computational Statistics and Data Analysis, Journal of Probability and Statistics).

Research Interest

Her research interest lies broadly in developing novel statistical methodologies with application in biomedical sciences. Currently, she conducting research on integrative proteogenomics analysis leading to cancer biomarkers discovery, funded by NIH/NCI grant in the lab of Dr. Pei Wang at Icahn School of Medicine at Mount Sinai. Primarily my research focuses on imputation of omics data by iterative prediction model, network learning for proteomics data using probability graphical models. She did a few collaborative works on cluster randomized trials using application from HIV risks among Bahamian children and adolescents. Also, she worked on another collaboration on Innovative Designs for Biobehavioral Research in Adolescent HIV. Other areas of Statistics/Biostatistics she interested in include but not limited to: adaptive design including SMART designs, personalized medicine (dynamic treatment regime), Bayesian non parametric modeling and high dimensional variable selection for zero inflated count outcome models.

Scientific Activities

Recipient of International Indian Statistical Association (IISA) Travel Award (2018).
Recipient of Patient-Centered Outcome Research Institute (PCORI) Trainee Scholarship Award (2016).
Recipient of D.V. Gokhale Travel Grant (2015).
Recipient of prestigious Dean's Distinguished Fellowship Award, University of California,
Riverside. (2011-2012).
Recipient of N. Balakrishnan Award and Academic excellence Award, Indian Institute of
Technology Kanpur, India (2010).
Recipient of Sangheeta Pradhan Memorial Award, Indian Institute of Technology Kanpur, India
(2010).

Publications

F Chowdhury, Shrabanti, Chatterjee, Saptarshi, Mallick, Himel, Banerjee, Prithish, Garai, Broti. Group Regularization for Zero-inated Count Regression Models with an Application to Insurance Ratemaking (Journal of Applied tatistics(2018)).
F Chowdhury, Shrabanti, Tiwari, Ram C. and Ghosh, Samiran. Bayesian Approach for Assessing Non-inferiority in Three-arm Trials for Risk Ratio and Odds Ratio (Statistics in Biopharma-ceutical Research(2018)).
F Chowdhury, Shrabanti, Tiwari, Ram C. and Ghosh, Samiran. Approaches for testing non-inferiority in two-arm trials for Risk Ratio and Odds Ratio (Journal of Biopharmaceutical Statistics(2018)).
F Chowdhury, Shrabanti, Tiwari, Ram C. and Ghosh, Samiran. Non-inferiority Testing for Risk Ratio, Odds Ratio and Number Needed to Treat in Three-arm Trial (Computational Statistics and data Analysis(2018)).
F Chatterjee, Saptarshi, Chowdhury, Shrabanti, Mallick, Himel, Banerjee, Prithish, Garai, Broti. Group Regularization for Zero-inated Count Regression Models with an Application to Healthcare Demand in Germany (Statistics in Medicine(2018)).
F Banerjee, Prithish, Garai, Broti, Mallick, Himel, Chowdhury, Shrabanti, Chatterjee, Saptarshi. Group Regularization for Zero-inated Count Regression Models with an Application to Insurance Ratemaking (Journal of Probability and Statistics(2018)).
F Ghosh, Subir and Chowdhury, Shrabanti. CV, ECV, and Robust CV designs for replications under a class of linear models for factorial experiments (Journal of Statistical Planning and Inference(2017)).
F Chatterjee, Saptarshi, Chowdhury, Shrabanti and Basu, Sanjib. Tests for Association Using Cut Point Based Categorization of Prognostic Variables (Submitted in Biometrics).
F Clark, David et al. Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma (Submitted in Cell)
F Naar, Sylvie and others. Innovative Designs for Biobehavioral Research in Adolescent HIV (Submitted in AIDS and Behavior).
F Chowdhury, Shrabanti, Lukemire, Joshua and Mandal, Abhyudyay. A-Com Var: A Flexible Ex-tension of Common Variance Designs (Submitted in Journal of Statistical Theory and Practice).
F Ma, Weiping, Kim, Sunkyu, Chowdhury, Shrabanti and others. Novel Imputation Strategy of Proteomics Data: DreamAI (Near Submission).
F Tignor, Nicole, Ma, Weiping, Chowdhury, Shrabanti and others. Objective Measurement of Activity and Sleep in an Observational study of a chronic disease using HealthKit and ResearchKit: The Asthma Mobile Health Study (Near Submission).
F Chowdhury, Shrabanti, Wang, Bo and Heo, Moonseong. Statistical power and sample size re-quirements to detect an intervention by time interaction in four level longitudinal cluster randomized trial (Near Submission).
F Chatterjee, Suvo, Chowdhury, Shrabanti and Ryu, Duchwan. Locale-Dependent Bayesian Smoothing Splines with Dynamically Weighted Particle Filter (In progress).

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