CLICK HERE TO JOIN
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!
CLICK HERE TO GET STARTED
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.
MOST RECENT WEBINAR
Scott Fincher, Data Scientist, KNIME, Inc.
“Open Source Modeling Integrations with KNIME”
October 24, 2018, 11:30 am (CST), Blocker 457
We will post a link to the recorded presentation within 48 hours of the event.
Missed the webinar? We’ve got you covered! |
CLICK HERE to play the recorded video.Our apologies for the poor sound quality. |
PAST WEBINARS
June 15, 2018
Shahina Rahman, Post-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)
CONNECT 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.
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Dr. Ersen Arseven
PhD Statistics ’74 Statistical and Process Consultant Nyack, NY |
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Marcy Johnson
MS Statistics ’88 Director, Quantitative Research, MD Anderson Cancer Center Houston, TX |
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Dr. Shane Reese
Ph.D Statistics ’99 Dean, College of Physical and Mathematical Sciences, Brigham Young University Provo, UT |
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Scott Fincher
MS Statistics ’17 Data Scientist, KNIME Austin, TX |
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Dr. Jinhua Huang
PhD Statistics (UC Berkeley) 1997 Head, Statistics Department, Texas A&M University College Station, TX |
