Statistics Former Student Network



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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 




Wednesday, May 20, 2020, 10:00 AM – 11:00 AM CST

“CUSUM:  Overview, Applications and Monitoring Procedures for Low-Count Situations”

James Lucas, J. M. Lucas and Associates Consulting Firm

CLICK HERE to register!


April 13, 2020
Brittany Alexander, 2nd Year Statistics Ph.D. Student, Texas A&M University
“The Accuracy and Predictiveness of State-Level Presidential Polls” (Recorded Video)

February 11, 2020
Shuling Liu, Data Scientist, KNIME, Inc.
Ethics in Statistical Consulting” (Slides) (Recorded video)

October 24, 2018
Scott Fincher, Data Scientist, KNIME, Inc.
“Open Source Modeling Integrations with KNIME” (Click to view)

June 15, 2018
Shahina RahmanPost-Doctoral Researcher, Texas A&M University
Fast Clustering of High Dimensional Data  (Click to view)

February 28, 2018 (Inaugural Webinar)
Mikyoung Jun, Associate Professor of Statistics, Texas A&M University
Predictive Statistical Representation of Observed and Simulated Rainfall Using Generalized Linear Models (Click to view)




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




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

  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

  Scott Fincher

MS Statistics ’17

Data Scientist, KNIME

Austin, TX

  Dr. Jinhua Huang

PhD Statistics (UC Berkeley) 1997

Head, Statistics Department, Texas A&M University

College Station, TX