Assistant Engineering

Location:

Centre, PA

Posted:

November 19, 2012

Contact this candidate

Resume:

Vishesh Karwa

*** ******

Department of Statistics

The Pennsylvania State University

University Park, PA 16802

E-mail: ******@***.***

Research Interests:

Causal inference (Rubin Causal Model and Pearl Causal Model), Privacy

and Social Network analysis, Algebraic Statistics (with applications to

MCMC for categorical data)

Education:

The Pennsylvania State University, State College, PA

Ph.D. Candidate, Statistics, G.P.A. 3.98/4.0, May 2013 (Expected)

M.S., Transportation Engineering, August 2009, G.P.A. 4.0/4.0

Thesis Topic: Safety effects of pavement marking retroreflectivity -

An application of Causal Bayesian Networks to Safety Analysis

Adviser: Professor Eric T. Donnell

Indian Institute of Technology, Kharagpur, West Bengal, India

B.Tech., Civil and Environmental Engineering, June 2007

Magna cum Laude, With Honors in Engineering

Thesis Topic: A Numerical Solution of Layered Elastic Systems using Gauss Laguerre Integration and Nelder Mead Optimization

Adviser: Professor K. S. Reddy

Awards and Honors:

SAS Summer Fellowship 2011

Distinction award for scoring highest in Phd Candidacy exam (Jan 2011)

IPAM, UCLA Travel Award to attend workshop on "Statistical and Learning-Theoretic Challenges in Data Privacy" (Feb 2010)

Golden Key International Honors Society (2008-Present)

Best Undergraduate Thesis Award (2007)

University Scholarship, IIT Kharagpur (2003-2007)

Research Experience:

Department of Statistics, The Pennsylvania State University, PA

Graduate Research Assistant (August 2009 to Current)

Development of computational tools in Algebraic Statistics in R.

Application of algebraic tools to a class of problems involving

latent variables (such as constructing Markov chains on contingency

tables, privacy preserving data mining, ecological fallacy, causal

inference under imperfect experiments or unobserved confounders).

Department of Computer Science, The Pennsylvania State University, PA

Graduate Research Assistant August (2010 to Current)

Differentially private analysis of Social Network data

Develop and implement algorithms for private analysis of large networks

Larson Transportation Institute, The Pennsylvania State University, PA

Graduate Research Assistant (August 2007 to August 2009)

Application of statistical methodology to various transportation

safety problems such as identification of high risk sites, accident

reconstruction under uncertainty, predictive modeling of pavement

markings degradation patterns.

Publications:

Karwa, V., Slavkovic, A., Donnell, E.T. (2010). Causal Inference in

Transportation Safety Studies: Comparison of Potential Outcomes and

Causal Bayesian Networks. Accepted, The Annals of Applied Statistics.

Altman, N., Wang, Q., Karwa, V. and Slavkovic, A. (2010).

Resolving Isoform Expression using Digital gene Expression Data. Journal

of Indian Society of Agricultural Statistics. Special Issue on

Statistical Genomics. Vol. 64, Issue 1, pages 19-31

Karwa, V., Donnell, E.T. (2010). Predicting Pavement Marking

Retroreflectivity using Artificial Neural Networks. Accepted, The ASCE

Journal of Transportation Engineering.

Karwa, V., Raskhodnikova, S., Smith, A., Yaroslavtsev, G.

(2011) Private Analysis of Graph Structure. VLDB

Karwa, V., Slavkovic, A. (2011). Mining associational rules while

preserving privacy, using Algebraic Tools. Manuscript under preparation.

Karwa, V., Slavkovic, A. (2011). R4ti2 - an R package for markov bases. Manuscript under preparation.

Presentations:

(Invited) Algebraic Statistics Framework for Causal Inference, SIAM algebraic Statistics session, Pittsburgh, June 2010.

An introduction to Causal Diagrams framework, Causal Inference Seminar, Penn State, March 2010.

An Application of Generalized Estimating Equations and Artificial

Neural Networks, Transportation Research Board, Washington DC, Jan 2009.

Effectiveness of Dynamic Speed Display Signs, Transportation Research Board,Washington DC, Jan 2008.

Statistical/Computing Packages: SAS, Matlab, Stata, WinBugs, Latte, 4ti2.

Programming: C, C++, R.

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