Apr 11, 2012 - ply connected shapes with an application to image cytometry. ... bility, Statistics, and Data Analysis, N
Debdeep Pati Contact Information
Department of Statistical Science Duke University 222 Old Chemistry Building Box 90251, Durham, NC 27708 USA
Citizenship
Indian
Research Interests
Nonparametric Bayes density estimation, high-dimensional density regression and variable selection, Bayesian asymptotics, nonparametric shape modeling, hierarchical modeling of shapes, point pattern data modeling, nonparametric clustering.
Education
Duke University, Durham, North Carolina, USA
Voice: (919) 684-8840 Fax: (919) 684-8594 E-mail:
[email protected] WWW: www.stat.duke.edu/∼ dp55
Ph.D., Department of Statistical Science (May 2012) • Thesis Topic: Some explorations of Bayesian nonparametric modeling and theory • Advisor: Professor David B. Dunson • Area of Study: Nonparametric Bayes Master of Science, Department of Statistical Science, Dec 2010 • Thesis Topic: Bayesian nonparametric regression with varying residual density • Advisor: Professor David B. Dunson • Area of Study: Nonparametric Bayes Indian Statistical Institute, Kolkata, West Bengal, India Master of Statistics, Department of Statistics, June 2008 • First Division with Distinction • Specialization: Mathematical Statistics and Probability Bachelor of Statistics, Department of Statistics, June 2006 • First Division with Distinction • Project Topic: Nonparametric inequality measure based on ranks Awards The American Statistical Association • Student paper competition award, Section on Bayesian Statistical Science (SBSS), 2012 National Science Foundation • NSF travel award for participating in International Society for Bayesian Analysis (ISBA) World Meetings, Benidorm, Spain (June 2010) International Society for Bayesian Analysis • Finalist for the ISBA 10 / Valencia 9 Student Video Competition, Benidorm, Spain (June 2010) International Biometric Society • Distinguished student paper award, International Biometric Society (ENAR), 2010
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Duke University, Durham, North Carolina • University Scholarship, 2008-2009 Indian Statistical Institute, Kolkata • University Scholarship, 2003-2008 • Prizes for good performances in various semesters, 2003-2008 Jagadis Bose National Science Talent Search • JBNSTS Senior Scholarship, 2003-2008 West Bengal Board of Higher Education • Stood 32nd in West Bengal Board of Secondary Education out of 600000 students • Stood 32nd in Joint Entrance Examination out of 100000 students • Stood 4th in West Bengal Council for Higher Secondary Education out of 400000 students Academic Experience
Duke University, Durham, NC USA PhD Candidate
August 2008 to present
• University fellowship, August 2008 to May 2009 Includes current course work and ongoing PhD dissertation, current GPA 4.0/4.0 • Research assistant under Prof. David Dunson (June 2009 to present) Research Assistant under grant R01 ES017240-01 from the National Institute of Environmental Health Sciences (NIEHS) of the National Institute of Health (NIH) Teaching Assistantship
August 2008 to May 2010
• Teaching assistant of Fan Li for STA213, Introductory Statistical Methods, Fall 2008 • Teaching assistant of Merlise Clyde for STA122, Bayesian Statistics and Modern Computing, Spring 2009 • Lab Instructor for STA122, Bayesian Statistics and Modern Computing, Spring 2009 • Teaching assistant of Fan Li for STA215, Statistical Inferences, Spring 2010 Publications • Pati, D., Reich B.J. and Dunson D.B. (2011). Bayesian geostatistical modeling with informative sampling locations. Biometrika 98 (1): 35-48 (doi: 10.1093/biomet/asq067). Winner of the ENAR Distinguished student paper award. • Pati, D. and Dunson, D.B. (2010). Bayesian nonparametric regression with varying residual density. The Annals of the Institute of Statistical Mathematics, accepted subject to minor revision, pdf. • Pati, D. and Dunson D.B. Bayesian fitting of closed surfaces through tensor products. Biometrika, under revision, pdf. Winner of the SBSS Student paper competition. • Bhattacharya, A, Pati, D. and Dunson D.B. Adaptive dimension reduction using Gaussian process priors. The Annals of Statistics, under revision. Arxiv: http://arxiv.org/pdf/1111.1044 • Pati, D., Bhattacharya A. and Sarkar A. Nonparametric inequality measure based on ranks. Calcutta Statistical Association Bulletin, revision requested. 2 of 6
Submitted manuscripts
Papers in Progress
• Pati, D., Dunson D.B and S.T. Tokdar (2011). Posterior consistency in conditional distribution estimation.
• Pati, D., Bhattacharya A. and D.B. Dunson. Posterior rates of contraction in nonlinear latent variable density estimation models. Arxiv: http://arxiv.org/pdf/1109.5000 • Gu K., Pati, D. and Dunson D.B. Bayesian hierarchical modeling of multiple 2d simply connected shapes with an application to image cytometry. To be submitted to the Journal of the American Statistical Association. Arxiv: http://arxiv.org/pdf/1201.1658 • Pati, D., Bhattacharya A., Pillai N. and Dunson D.B. Bayesian high-dimensional covariance matrix estimation. • Pati D., Bhattacharya A. and Dunson D.B. Latent variable Bayesian density regression models.
Invited Talks • Recent theoretical advancements in Bayesian nonparametric density regression, ISBA Regional Meeting, Varanasi, India (January 2013) • Nonparametric Bayesian learning of low dimensional structure in higher dimensional data, Wharton Statistics Seminar, Pennsylvania (March 2012) • Nonparametric Bayesian learning of low dimensional structure in higher dimensional data, FSU Statistics Colloquium, Florida (February 2012) • Nonparametric Bayesian learning of low dimensional structure in higher dimensional data, Data Seminar, Duke University, Durham (January 2011) • Nonparametric Bayesian learning of low dimensional structure in higher dimensional data, UChicago Statistics Colloquium, Chicago (January 2012) • Nonparametric Bayesian learning of low dimensional structure in higher dimensional data, UFlorida Statistics Seminar, Florida (January 2012) • Hierarchical modeling of closed surfaces, SAMSI transition workshop, SAMSI (June 2011) • Bayesian closed surface fitting through tensor products, IISA Conference on Probability, Statistics, and Data Analysis, NCSU, Raleigh (April 2011) • Posterior consistency in conditional distribution estimation, Session on Bayesian nonparametrics, 3rd ERCIM WG Conference on Computing & Statistics, London (December 2010) • Nonparametric Bayes mean regression and conditional density estimation: theory & some applications, Carlo Alberto Stochastics Workshop, Moncalieri, Italy (June 2010)
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Contributed Talks
• Nonparametric Bayesian learning of low dimensional structure in higher dimensional data, Joint Statistical Meetings, San Diego (August 2012) • Bayesian fitting of closed surfaces through tensor products, 8th workshop on Bayesian nonparametrics, Veracruz, Mexico (June 2011) • Bayesian geostatistical modeling with informative sampling locations, International Society for Bayesian Analysis (ISBA) World Meetings, Benidorm, Spain (June 2010) • Bayesian geostatistical modeling with informative sampling locations, ENAR International Biometric Society Spring Meeting in New Orleans (March 2010)
Contributed Posters
• Bayesian closed surface fitting through tensor products, Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), Durham (July 2011) • Posterior rates of contraction in latent variable density estimation and regression models, 8th workshop in Bayesian nonparametrics, Veracruz, Mexico. (June 2011) • Bayesian nonparametric regression with varying residual density. 7th workshop on Bayesian nonparametrics, Moncalieri, Italy (June 2009)
Tutorial lectures
• Introduction to nonparametric Bayes, posterior consistency and rates of posterior contraction, Guest lecture, STA 281, Duke University (September 2011) • Introduction to nonparametric Bayes, posterior consistency and rates of posterior contraction, WG on high-dimensional data, Duke University (August 2011) • Bayesian modeling of closed surfaces, Introducing research to undergraduates, STA 395 seminar series (August 2011)
Other presentations
• Bayesian hierarchical modeling of simply connected 2D shapes. Duke Statistical Science 395 Seminar Series (February 2012) • Bayesian fitting of closed surfaces through tensor products. Duke Statistical Science 395 Seminar Series (March 2011) • Bayesian fitting of closed surfaces through tensor products. WG on high dimensional data, Duke University (January 2011) • Robust Bayesian model-based mode clustering. Course on Object Oriented Data Analysis-I, SAMSI (October 2010) • Posterior consistency in conditional density estimation. Duke Statistical Science 395 Seminar Series (October 2010) • Posterior consistency in conditional density estimation. SAMSI Poster presentation, Program on Semiparametric Bayesian Inference: Applications in Pharmacokinetics and Pharmacodynamics (July 2010) • Bayesian geostatistical modeling with informative sampling locations. STA 294 Poster presentation, SAMSI (November 2009) 4 of 6
• Bayesian nonparametric regression with varying residual density. Duke Statistical Science 395 Seminar Series (October 2009) • Nonparametric inequality measure based on ranks, Applied Statistics 2007, International Conference, Ribno, Bled, Slovenia (September 2007) • Nonparametric measures of Inequality, International Conference on Multivariate Statistical Methods- In the legacy of Prof. S.N. Roy. Kolkata, India (December 2007) Conferences and Workshops Attended
• 8th workshop on Bayesian nonparametrics, Veracruz, Mexico (June 2011) • Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), Durham (July 2011) • IISA Conference on Probability, Statistics, and Data Analysis, NCSU, Raleigh (April 2011) • 3rd ERCIM WG Conference on Computing & Statistics, London (December 2010) • Program on Semiparametric Bayesian Inference: Applications in Pharmacokinetics and Pharmacodynamics, SAMSI (July 2010) • Carlo Alberto Stochastics Workshop, Moncalieri, Italy (June 2010) • International Society for Bayesian Analysis (ISBA) World Meetings, Benidorm, Spain (June 2010) • ENAR International Biometric Society Spring Meeting in New Orleans, LA (March 2010) • 7th workshop on Bayesian nonparametrics, Moncalieri, Italy (June 2009) • Applied Statistics 2007, International Conference, Ribno, Bled, Slovenia (September 2007) • International Conference on Multivariate Statistical Methods- In the legacy of Prof. S.N. Roy. Kolkata, India (December 2007)
Relevant coursework
Efficient Monte Carlo methodology, Spatial statistics, Nonparametric Bayes methods, Objective Bayes, Analysis of object data
Technical Skills Matlab experience: statistics, linear algebra and nonlinear numerical methods Matlab toolboxes: statistics, neural network, signal processing R toolboxes: mcmc, coda, spbayes, tgp, bart Programming: C, C++, PHP, SQL Applications: TEX, LATEX, BibTEX, Microsoft Office, and other common productivity packages for Windows, OS X, and Linux platforms Operating Systems: Microsoft Windows XP/2000, Linux, Solaris, and other UNIX variants Professional activities
• Reviewer for Bayesian Analysis, Electronic Journal of Statistics.
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Membership • American Statistical Association • Eastern North American Region, International Biometric Society • International Society for Bayesian Analysis • Institute of Mathematical Statistics • International Indian Statistical Association References • David B. Dunson, Professor Department of Statistical Science 219A Old Chemistry Building Box 90251 Duke University Durham, NC 27708-0251 email:
[email protected], Ph: (919) 684-8025 • Brian J. Reich, Assistant Professor Department of Statistics North Carolina State University 2311 Stinson Drive 4264 SAS Hall, Box 8203 Raleigh, NC 27695 email: brian
[email protected], Ph: (919) 513-7686 • Prof. Lawrence Carin, Professor Department of Electrical and Computer Engineering 3459 CIEMAS Building Duke University Box 90291 Durham, NC 27708-0291 email:
[email protected], Ph: (919) 660-5270 Updated on April 11, 2012.
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