Ashwini Maurya

C*** Wells Hall

Department of Statistics and Probability

Michigan State University

East Lansing, MI, 48824

Email: acu0ov@r.postjobfree.com

Tel: 517-***-****

Web: https://www.stt.msu.edu/users/mauryaas/

EDUCATION Ph.D. Statistics & Probability 07/2011-07/2016 Department of Statistics and Probability, Michigan State University, East Lansing, Michigan, USA.

Adviser: Dr. Hira L. Koul

M.S. Statistics 07/2006-07/2008

Department of Statistics, University of Pune, India. Adviser: Dr. T.V. Ramanathan

B.S. Statistics 09/2002-07/2005

Department of Mathematics and Statistics, Gorakhpur University, India. CURRENT

RESEARCH

1. Covariance and Inverse Covariance Matrix Estimation Advisor: Dr. Hira Koul

Research involves estimation and developing scalable and e cient algorithm for large dimensional covariance and inverse covariance matrices. 2. Estimating Genetic Heritability for Big Data

Advisor: Dr. Gustavo De Los Campos

Research involves developing sub sampling based algorithm for estimating genetic her- itability estimation in the context of big data.

PUBLICATIONS Peer-referred journal articles

1. Maurya, A. A Well-Conditioned and Sparse Estimation of Covariance and Inverse Covariance Matrices using a Joint Penalty. Journal of Machine Learning Research 2016 (accepted).

2. Maurya, A. A joint Convex Penalty for Inverse Covariance Matrix Estimation.

(Journal of the Computational Statistics and Data Analysis, Volume 74, July 2014, 15-27.)

Working papers

1. Maurya, A. and Y.H. Cui. Using Sparse and Well-Conditioned Estimation of Lon- gitudinal Covariance Structure in Functional Mapping of Quantitative Trait Loci. In progress.

2. Maurya, A. and De Los Campos, G., A Bagging approach to Estimate the Genetic Heritability in Humans for Big Data. In progress.

HONORS &

AWARDS

Pre-Doctoral Fellowship, College of Natural Science, Michigan State University Fall 2015, Summer 2016.

Graduate Research Fellowship, Department of Statistics and Probability, Michigan State University 2011.

Graduate Student Travel Award, Graduate School of Michigan State University

(March, 2014 & 2015)

Conference Travel Award, American Statistical Association (International Indian Statistical Association Conference) 2014.

Conference Travel Award, University of Chicago, Midwest Statistical Symposium 2014.

Best Poster Presentation Award, Michigan State University Statistics Symposium 2014.

P zer Scholarship, University of Pune (2006-2008). Second Rank Among Class of Graduating Students, among graduating class of 2005 in Gorakhur University and Its a liated Colleges. Award of Best Student, in Higher Secondary School for Uttar Pradesh Board, India 2002.

SOFTWARE &

PACKAGES

1. JPEN ( R-package) for estimating a covariance or inverse covariance matrix using joint penalty.

https://cran.r-project.org/web/packages/JPEN/index.html INDUSTRY

EXPERIENCE

Associate Consultant May 2010-July 2011

Genpact Analytics, Bangalore, India.

Member of Marketing Advanced Analytics team. I was responsible for data pulling, predictive modeling of sales data, making reports & presentation, and providing valu- able insights to the clients based on the data analysis. Among all the projects I worked on, most of the these received a rating of 5/5 in terms of timely delivery, valuable to clients, and communication of results.

TALKS &

POSTERS

Department of Statistics and Probability, Michigan State University, East Lansing, MI

(Passed the PhD doctoral dissertation defense, May 03, 2016.) IBM Thomas J. Watson Research Center, Yorktown Heights, NY, March 2016

\From Industrial Statistics to Data Science", A conference in the honor of Prof. Vijay Nair’s 65th Birthday, University of Michigan, October, 2015. Joint Statistical Meeting 2015 & 2014.

International Indian Statistical Association, Riverside, CA, 2014 (selected in top 20). Midwest Statistics Symposium, University of Chicago, Chicago, IL, 2014. Michigan State University, Graduate Academic Conference, 2013, 2014. Statistics in Applications Symposium 2013, 2014; Michigan State University, East Lans- ing, MI.

WORKSHOPS &

MEETINGS

Statistics in Applications Symposium 2013, 2014 Michigan State University, East Lansing

I was the key organizer for both the years. Invited more than 100 participants from University of Michigan, University of Chicago, University of Washington and several colleges across Michigan State. Got the funding from college of Natural Science at Michigan State, Center of Statistical Consulting MSU and few other local institutes. This was huge success and was appreciated by Provost and Dean at Michigan State University. The event page: https://www.stt.msu.edu/sia2014/default.aspx PROJECTS 1. Large Scale Image Classi cation

The Image Net Large Scale Visual Recognition Challenge 2010 data set has more than 106 observations on 900 variables distributed over 150 classes. Received the best score in terms of least classi cation error on test data, among all the other projects submitted in class (Course: Machine Learning CSE 847, MSU, Advisor: Dr. Rong Jin).

2. Phase Analysis of Circadian related Genes in two Tissues We propose bivariate statistical modeling of phase expression times to better under- stand the joint characteristics of phase expression times of two tissues viz. heart and liver. We also develop novel goodness of t test for testing the appropriateness of the model.

Course: Directional Data Analysis, STT 899, MSU, Advisor: Dr. Ashis Senupta. REFEREE Statistics and Probability letters

Annals of Statistics.

MEMBERSHIP Student Member of{

American Statistical Association

International Indian Statistical Association

Institute of Mathematical Statistics.

TEACHING Independent Instructor (Summer 2012, 2013,2014 & 2015) Courses: STT 200, STT 315. Michigan State University. Recitation Instructor (Fall 2011, 2012, 2013, 2014, Spring 2012, 2013, 2014, 2015) Course: STT 200, STT 201, STT 315. Michigan State University. Academic Assistant (April 2009-April 2010)

Course: Probability and Statistics courses for Postgraduate courses. Indian Institute of Management, Ahmedabad, India.

Teaching Instructor (August 2008- March 2009)

Course: Probability and Statistics courses for Undergraduate courses. Indian Institute of Business Management and Research, Pune, India.

SKILLS Statistical Software: R, Matlab, SAS, and Minitab Data and Processing: Excel, and LATEX

Language: C/C++, Python.

Operating System: Unix and Windows

SELECTED

COURSES

Machine Learning Stochastic Models in Finance

Statistical Genetics Theory of Statistics

Data Mining Regression Analysis

Time Series Analysis Actuarial Statistics

Multivariate Analysis Advanced Topics in Statistics Survival Analysis Computational Statistics

Theory of Probability Asymptotic Theory

Advanced Algebra Real Analysis

Random Fields and Spatial Statistics Convergence of Measures and Stochastic Processes

OTHER

COURSES

Coursera

Machine Learning, Instructor: Andrew Ng, Stanford University Practical Machine Learning, Instructor: Je Leak, Roger Peng, Brian Ca o, John Hopkins University

Python for Everybody, Instructor: Charles Severance, University of Michigan Strategic Career Self-Management, by State University of New York REFERENCES

Dr. Hira Koul

Professor

Department of Statistics and Probability

Michigan State University

619 Red Cedar Road, Rm C435, East Lansing, MI, 48824 Email: acu0ov@r.postjobfree.com

Phone: 517-***-****

Dr. V. Mandrekar

Professor

Department of Statistics and Probability

Michigan State University

619 Red Cedar Road, Rm C436, East Lansing, MI, 48824 Email: acu0ov@r.postjobfree.com

Phone: 517-***-****

Dr. Mark A. Iwen

Assistant Professor

Department of Mathematics

Michigan State University

C342 Wells hall,

East Lansing, MI 48824

Email: acu0ov@r.postjobfree.com

Phone: 517-***-****

Dr. Hyokyoung Hong

Assistant Professor

Department of Statistics and Probability

Michigan State University

C435 Wells Hall, Red Cedar Rd

East Lansing, MI 48823

Email: acu0ov@r.postjobfree.com

Phone: 517-***-****

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