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Debmalya  Nandy

Debmalya Nandy

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122 Chemistry Building
(Mail: 325 Thomas)

University Park, PA 16802


  1. Doctoral Candidate (Statistics), Penn State University, University Park Campus (August 2013 - December 2018 (expected))
  2. MS Candidate (Bioinformatics and Genomics), Penn State University, University Park Campus (August 2015 - December 2018 (expected))
  3. Master of Statistics (M. Stat.), Indian Statistical Institute, Kolkata, India (May 2013)
  4. B. Sc. (Honours) in Statistics, Ramakrishna Mission Residential College (affiliated under University of Calcutta), Kolkata, India (July 2011)
  5. [Minor: Mathematics and Computer Science]



I am a Doctoral Candidate (All-But-Dissertation) in Statistics, and an MS Candidate in Bioinformatics & Genomics. I hail from Kolkata (previously called "Calcutta"), India. I completed my B.Sc. (Honours) in Statistics from the Ramakrishna Mission Residential College, Narendrapur, Kolkata (affiliated with University of Calcutta) in 2011 and received my Master of Statistics (M. Stat.) degree in 2013 from the Indian Statistical Institute, Kolkata. 

I am a Yoga Teacher and regular practitioner, Reiki and Crystal-Reiki Master/Teacher, Vedic Traditional Thai Yoga Bodywork/Massage Teacher Trainee, Qigong practitioner, Latin dancer, photographer, bookworm, painter, writer, outdoor adventurer and nature explorer. 

Selected Publications


  1. Covariate Information Matrix for Sufficient Dimension Reduction, Weixin Yao, Debmalya Nandy (jointly first author), Bruce G. Lindsay and Francesca Chiaromonte, JASA (2018, in press)
  2. Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Learning, Debmalya Nandy, Francesca Chiaromonte and Runze Li (in preparation)
  3. Alternative Method for Vaccine Efficacy Curve, Debmalya Nandy and Andrew J. Dunning, Sanofi Pasteur Clinical Biostatistics Technical Report (2015)

"-Omics" Sciences:

  1. A Metabolomics Perspective on Childhood Obesity within the INSIGHT Study, Debmalya Nandy, in collaboration with Leann Birch [University of Georgia], Makova Lab and Patterson Lab, Penn State University, University Park, and Penn State College of Medicine, Hershey (in preparation)
  2. Statistical Analysis of de novo Mutations across Human Genome (in preparation), Di (Bruce) Chen, Debmalya Nandy, Yang Liu, Francesca Chiaromonte, and Kateryna D. Makova, Penn State University, University Park (in preparation)

Research Interests

My research areas and interests include feature screening in ultrahigh-dimensional supervised learning, sufficient dimension reduction, sparse estimation and modeling in high- and ultrahigh-dimensional problems (both supervised and unsupervised). In general, I am always interested in and looking forward to research projects involving machine learning / data mining / artificial intelligence algorithms that can reveal useful information from seemingly complex real-world data.

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 to Francesca Chiaromonte, the current PI, in collaboration with Weixin Yao of UC Riverside. Our focus is sufficient dimension reduction of covariate space in a regression problem.

Currently, using the notion of the covariate information, I am also developing a novel feature screening strategy in ultrahigh dimensional data, largely prevalent now-a-days in many scientific fields, such as Genomics, Transcriptomics, Proteomics, and Metabolomics, to name a few. 

Collaborative Research:

1. Statistical analysis of regional variation of de novo mutations across human genome [Makova Lab @ Penn State]

2. Studying the effects of metabolites on childhood obesity within the INSIGHT study in Paul, I. M. et al., BMC Pediatrics, 2014, 14:184 [Makova and Patterson Labs @ Penn State]

Honors and Awards

  • First Place Winner in poster presentation within the "Computational Biology & Statistics" track at the Life Science Symposium 2018, Huck Institutes of the Life Sciences, Penn State University, University Park (05/2018)
  • Jack and Eleanor Pettit Scholarship in Science (2016-2017), Eberly College of Science, Penn State University (09/2016)
  • Best Poster Award at the 2015 Rao Prize Conference, Department of Statistics, Penn State University (05/2015)
  • Award for Distinguished Performance on the PhD Qualifier Exam, Department of Statistics, Penn State University (01/2015)
  • Swami Lokeswarananda Award 2011 -- the most prestigious award of Ramakrishna Mission Residential College (Autonomous) at the Bachelors Degree level, for the best all-round performance among the undergraduate students during the session 2008 - 2011 (03/2011)

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