There has never been a better time to be a statistician.
Join SFSN
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.
If you are interested in giving an SFSN presentation, please contact Ana Ferreira (aferreira@tamu.edu) to be put in contact with SFSN President, Marcy Johnson.
NEXT PRESENTATION
Tuesday, November 05, 2024 - 11:00 AM CST
Kristin Lennox
Senior Managing Scientist
Exponent
"Mathemagic! A defense of statistics in the age of data science"
Registration is required. Please REGISTER HERE to attend this event. After registering, you will receive a confirmation email containing information about joining the Zoom meeting.
Past Webinars
October 21, 2024
Soutir Bandyopadhyay, Associate Professor Applied Mathematics and Statistics Colorado School of Mines
"High-Resolution Long-term Weather Data for Energy"
Announcement and Bio
May 1, 2024
John Schwenck, Quantitative Analyst Consumer AI & ML Model Development Center Wells Fargo
"AI & Machine Learning Model Development: From Academia to Industry"
Announcement and Bio
April 10, 2024
Dennis W. King, Founder and President, STATKING Clinical Services (SCS)
“My Career as the STATKING”
Announcement and Bio
March 21, 2024
Mandy Hering, Professor, Department of Statistical Science
MoWaTER Director, Baylor University
“Multivariate Statistics Process Monitoring in Complex Water and Wastewater Treatment Systems”
(Click title to View the Recorded Presentation)
To view slides, click here
Announcement and Bio
December 7, 2023
Robert Reynolds, PhD, Data Scientist Human Health & Performance Directorate, Johnson Space Center
“Only What You Take With You: Research Methods for Human Systems Risks in Spaceflight“
(Click title to View the Recorded Presentation)
Announcement and Bio
November 9, 2023
Yulia Marchenko, Vice President, Statistics & Data Science, StataCorp LLC
“Professional Software Development: What, Why, and How?“
(Click title to View the Recorded Presentation)
Announcement and Bio
October 31, 2023
Yehua Li, Professor & Chair of Statistics, University of California at Riverside
“Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes”
(Click title to View the Recorded Presentation)
Announcement and Bio
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
Connecting with Your Peers
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.
PhD Statistics ’74
Statistical and Process Consultant
Nyack, NY
http://www.ersenarseven.com/
MS Statistics ’88
Director, Quantitative Research, MD Anderson Cancer Center
Houston, TX
MD Anderson Biostatistics Research
Ph.D Statistics ’99
Dean, College of Physical and Mathematical Sciences, Brigham Young University
Provo, UT
https://madison.byu.edu/
MS Statistics ’17
Data Scientist, KNIME
Austin, TX
https://www.linkedin.com/in/scottfincher/
PhD Statistics (Purdue University) 1992
Head, Statistics Department, Texas A&M University
College Station, TX
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