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Debmalya  Nandy

Debmalya Nandy

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422 Joab L. Thomas Building
(Mail: 325 Thomas)
Penn State University
University Park, PA 16802
Phone: (814) 863-8677

Education

  1. Doctor of Philosophy in Statistics, Penn State University, University Park Campus (Fall 2013 - )
  2. Master of Science (M. S.) in Molecular Cellular and Integrative Biosciences (with Bioinformatics and Genomics option), Penn State University, University Park Campus (Fall 2015 - )
  3. Master of Statistics (M. Stat), Indian Statistical Institute, Delhi Center & Kolkata (July 2011 - May 2013)
  4. B. Sc. (Honours) in Statistics, University of Calcutta, India (July 2008 - July 2011)
  5. (Minor: Mathematics and Computer Science)

Biography:

Namaste! I am a Doctoral Candidate (All-But-Defense) in Statistics (started Fall 2013). I hail from Kolkata, one of the cosmopolitan, mega cities in India.

Apart from Statistics, my real-life passion is YOGA, one of the prolific ancient wisdom offered to the entire world by the wondrous country India. I am a daily practitioner, and a certified Yoga teacher graduated from the Lila Yoga Institute (Yoga Alliance Registered Yoga School) at State College, PA.

Besides, I enjoy hiking, trekking, backpacking, water-rafting, caving, and any sort of adventurous outdoor activities, biking, digital photography, origami, playing games and sports, e.g., badminton, racquetball, table-tennis, etc. I also love interacting and meeting with people, learning new languages (now working on Spanish and Italian) and volunteer for leadership roles in different activities, both curricular and extra-curricular.

Selected Publications

  1. Covariate Information Matrix for Sufficient Dimension Reduction, Weixin Yao, Debmalya Nandy (jointly first author), Bruce G. Lindsay and Francesca Chiaromonte (under revision).
  2. Finding needles in a haystack? Covariate Information for Feature Screening in Ultrahigh Dimension, Debmalya Nandy, Francesca Chiaromonte and Runze Li (in progress).
  3. Alternative Method for Vaccine Efficacy Curve, Debmalya Nandy and Andrew J. Dunning, Sanofi Pasteur Clinical Biostatistics Technical Report (Aug 2015)

Research Interests

Currently, I am working on an NSF-funded collaborative project on 'Information Matrix Analysis for Non-parametric Multivariate Problems' (proposed by Bruce Lindsay) as an RA for Francesca Chiaromonte, the current PI, in collaboration with Weixin Yao. Our focus is sufficient dimension reduction of covariate space in a regression problem. Also, I am working on strategies involving feature screening for extending this dimension reduction methodology to ultrahigh dimensional data, largely prevalent now-a-days in many fields, e.g. Bioinformatics and Genomics.

My other two research projects involve statistical analysis of regional variation of de novo mutations across human genome and effect of metabolites on childhood obesity, both at the Makova Lab at Penn State.

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