BDAL Recognized for Two Papers at STAI-X 2026 Conference at Harvard University

UGA Statistics would like to share some exciting news from the Big Data Analytics Lab. Two of their papers were recognized at the STAI-X 2026 Conference (Statistics and Trustworthy AI for Cross-Domain Acceleration), held at Harvard University on July 31–August 1:

  • Paper Award: “Wahkon: A Statistically Principled Deep RKHS Superposition Network”
  • Paper Honorable Mention: “NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning”

Dr. Ping Ma:

Dr. Prince Allotey Selected for the 2026-2027 Teaching Academy Early Career Fellows Program

Congratulations to Dr. Prince Allotey for being selected to participate in the 2026-27 Early Career Fellows Program of the UGA Teaching Academy. The mission of this program is to promote excellence in classroom instruction by mentoring early-career faculty. Each summer, 15-20 early-career (1-3 years) faculty are selected as Teaching Academy Early Career Fellows (TAECF) for the upcoming academic year.

Georgia Statistics Day 2026 featuring Jianqing Fan

Gathering Minds Across Georgia: Promoting Interdisciplinary Statistics Research

October 5, 2026
George Tower, Georgia Tech
8am-5:30pm

Registration HAS BEEN Closed For This Event

You are cordially invited to the 2026 Georgia Statistics Day, a one-day workshop that brings together top researchers across the state to foster collaboration and innovation in statistics, data science, and related disciplines.  

Type of Event:

UGA Statistics Industry Day 2026 - Featuring Shan Ba

Lunch Lecture:

From Classical DOE to Online Experimentation at Scale: Challenges, Lessons, and Opportunities

Controlled experiments are widely regarded as the gold standard for establishing causal relationships and guiding decision-making. While the core principles of Design of Experiments (DOE) remain fundamental, applying them at the scale of modern online platforms introduces new challenges and opportunities.

Dr. Yuan Ke Joins JASA Editorial Board

Dr. Yuan Ke has recently accepted a role as Associate Editor for the Theory and Methods section of Journal of the American Statistical Association (JASA). JASA is the flagship journal of the American Statistics Association and one of the very top research publications in statistics and data science.
 
Congratulations to Dr. Ke for being named to this prestigious position, which reflects his stature as one of the elite researchers in our discipline!