Tags: General event


UGA Statistics Graduation Ceremony for Spring 2025

On Thursday, May 8, join the UGA Statistics Department in sending our students off on the next big step of their lives. Preceding the graduation ceremony at 12:00pm, we will have a small reception in the Larry Walker Room of Dean Rusk Hall at 10:30am. Space is limited, however, so if you would like to attend the reception, please fill out the form here in order to secure tickets. Students are guaranteed at least 3 guest tickets for the…


Georgia Stat Day

Gathering Minds Across Georgia: Promoting Interdisciplinary Statistics Research The Department of Biostatistics and Bioinformatics at the Rollins School of Public Health, Emory University and the University of Georgia department of Statistics cordially invite you to the 2024 Georgia Statistics Day (GSD)! This year, GDS will be hosted at Emory University!  GSD is a one-day local research event designed to promote interdisciplinary research…


Qualifying exam review

Dr. Schliekelman, Chair of the QEM Committee, and I (Chair of the QEP-DA Committee) will host a session on Sept. 9, 2024 at 4pm in Sanford 109 to review the exams and answer questions. This session will be of most interest to students who took the exams, but students who plan to take the exams in the future may also benefit from attending. In fact, even if you passed the exams long ago, the session may be instructive, and all students are…


Well Fargo Information Session

Wells Fargo will host an information session for the students graduating in May/June 2025 or later, with a focus on Statistics, Math, Physics, Data Science, Engineering, and related fields. They are seeking students interested in pursuing a career in risk model development or related areas. Catering will be provided. If you are interested, please mark your calendar.  Register by 9/9: Register to attend  time: September 10 from 5pm-6pm…


Susmita Datta

Unraveling Disease Mysteries: Statistical Models Reveal Cellular Conversations using Spatial Transcriptomics data. Abstract: Understanding cell microenvironments from spatially resolved transcriptomics data is a cutting-edge approach in biomedical research. This innovative method enables scientists to investigate the spatial organization of cells near diseased tissues and identify their inter - and intracellular communications through…


Ying Guo

A Regularized Blind Source Separation Method for Disentangling Dynamic Functional Connectome Abstract: Brain connectomics has become increasingly popular in neuroimaging studies to advance understanding of neural circuits and their association with neurodevelopment, mental illnesses, and aging. These analyses often face major challenges, including the high dimensionality of brain networks, unknown latent sources underlying the observed…


Zhen Xiang

Toward Trustworthy Machine Learning Under Training-Time Adversaries Abstract: Machine learning has demonstrated remarkable performance across various applications. However, significant concerns have arisen about its trustworthiness, such as risks posed by training-time adversaries. Facilitated by the need for 'big data', whether publicly available or locally accessible, training-time adversaries can easily manipulate a machine learning model by…


Xiuwei Zhang

Studying single cells through multi-condition and spatial context Abstract: With the advances in single cell technologies, cells are profiled through multiple modalities, and data on samples from an increasing number of individuals are obtained. I will present our method, scDisInFact, that disentangles variation in multi-batch multi-condition scRNA-seq datasets, and predicts data under unseen conditions. I will also present a few methods…


TN Sriram

Robust Recovery of the Central Subspace for Regression Using the Influence Function of the Renyi Divergence Abstract: A considerable amount of research in the literature has focused on quantifying the effect of extreme observations on classical methods for estimating the Central Subspace (CS) for regression through the study of influence functions and their sample estimates. Alternatively, a method that is inherently robust to data contamination…


Ching-Yu Huang

Got it?! Using Active Learning Techniques to Assess Student Learning Just in Time  Abstract: Explore how and why active learning techniques can enhance student engagement, collaboration, and reflection. In this workshop, we’ll discuss what an active learning course looks like from the instructor’s perspective across various disciplines. You’ll also experience and discuss a collection of active learning techniques- simple, easy to implement…
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