Ersen Arseven, PhD '74, Founder Statistics Former Student Network

Statistics Former Student Network in a classroom — Statistics Former Student Network "I believe any department that is able to organize its alumni and get them to contibute their knowledge, experience and expertise will be very many steps ahad of other departments in the same field. I think we have a good chance to establish a very good one. And I believe we have only one chance." - Dr. Ersen Arseven '74

There has never been a better time to be a statistician.

Texas A&M Statistics is hoping to capitalize on this current trend and our decades of success as a department by embarking on a unique effort to benefit our former, current, and future students. But to do so, we’ll need your help.

We’ve started the Statistics Former Student Network to leverage the rich and varied experiences, expertise, and skill sets of our former students to help enrich and extend the educational experiences for our present and prospective graduate and undergraduate students.

Because we believe the short- and long-term success of such a powerful group begins and ends with its potential members, we value your input, ideas, and advice. If you have interest in serving on the board, have suggestions for talks or webinars, wish to assist with mentoring students, or have any other ideas for SFSN, please contact us!

One of Texas A&M University’s best assets is its people — successful former students, colleagues, and friends with a wealth of institutional, industry, and inspirational knowledge to offer. We encourage you to consider giving back by paying it forward. Advantage, Aggies!

A network of possibility, created by Texas A&M statisticians for Texas A&M statisticians!

Know someone who’s not receiving our emails? It might be because they haven’t updated their Aggie Network profile! To update your contact information, visit aggienetwork.com.

NEXT PRESENTATION

Past Webinars

Tuesday, October 31, 2023

Yehua Li, Professor & Chair of Statistics

Department of Statistics
University of California at Riverside

Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes
(Click to view title and abstract)

September 21, 2023

Hua Liang, Professor of Biostatistics, George Washington University
"Semiparametric Models: Several Examples"
(Click title to View the Recorded Presentation)
Announcement and Bio

April 11, 2023

Tatiyana V. Apanasovich , Associate Professor of Statistics, George Washington University
"New Classes of Multivariate Covariance Functions"
(Click to View the Recorded Presentation)
Announcement and Bio

March 20, 2023

Scott H. Holan , Professor of Statistics, Department of Statistics, University of Missouri/U.S. Census Bureau
" Computationally Efficient Bayesian Unit-Level Models for Non-Gaussian Data Under Informative Sampling with Application to Estimation of Health Insurance Coverage"
(Click to View the Recorded Presentation)
Announcement and Bio

February 22, 2023

Eileen C. King , Research Professor, Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center
" Changing the World with Statistics"
(Click to View the Recorded Presentation)
Announcement and Bio

December 5, 2022

Yongtao Guan, Presidential Chair Professor, Department of Management Science, School of Business Administration, University of Miami
" Group Network Hawkes Process"
(Recorded Presentation)
Announcement and Bio

November 17, 2022

Cheng Cheng , Biostatistics Department, Comprehensive Cancer Center, St. Jude Children’s Research Hospital
"Nonparametric Failure Time Analysis: Thinking Out of the “Cox-Regression Box” in Genomic Applications"
(Recorded Presentation)
Announcement and Bio

October 25, 2022

Bo Li , Professor and Chair, Department of Statistics, Richard and Margaret Romano Professorial Scholar, University of Illinois Urbana-Champaign
" Statistics Methods for Climate Change and Sustainability" (Recorded Presentation)
Announcement and Bio

May 9, 2022

Jinfei Sheng, Assistant Professor of Finance, University of California, Irvine, Merage School of Business
" Technology and Cryptocurrency Valuation: Evidence from Machine Learning" (Recorded Presentation)
Announcement and Bio

April 11, 2022
Todd Ogden, Professor of Biostatistics (in Psychiatry), Columbia University, Mailman School of Public Health
" Analysis of Shape Data with Applications to Mitochondria" (Recorded Presentation)
Announcement and Bio

February 22, 2022
Katherine B. Ensor , Noah G. Harding Professor of Statistics, Rice University and President, American Statistical Association
" Community Analytics and the Value of University/City Partnerships" (Recorded Presentation)
Announcement and Bio

SFSN Presentations from Previous Years

2020-2021

2018-2019

Connecting With Your Peers

SFSN Twitter, Facebook, and LinkedIn groups are coming soon! Also, stay tuned for links to an online forum for SFSN members, currently in development.

Current Board Members

Please feel free to contact the board if you have questions about SFSN, or if we can assist you in any way.

Dr. Ersen Arseven
PhD Statistics ’74
Statistical and Process Consultant
Nyack, NY
http://www.ersenarseven.com/

Marcy Johnson
MS Statistics ’88
Director, Quantitative Research, MD Anderson Cancer Center
Houston, TX
MD Anderson Biostatistics Research

Dr. Shane Reese
Ph.D Statistics ’99
Dean, College of Physical and Mathematical Sciences, Brigham Young University
Provo, UT
https://madison.byu.edu/

Scott Fincher
MS Statistics ’17
Data Scientist, KNIME
Austin, TX
https://www.linkedin.com/in/scottfincher/

Dr. Brani Vidakovic
PhD Statistics (Purdue University) 1992
Head, Statistics Department, Texas A&M University
College Station, TX
https://tamustat.wpengine.com/~brani/