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Graduating PhD Student Spotlight: Novin Ghaffari

Novin Ghaffari PhD in Statistics, The University of Texas at Austin (Fall 2019)MS in Statistics, The University of Texas at AustinBS in Math, Plan II, and Finance, The University of Texas at AustinDissertation: "Optimal Transportation and Barycenter Problems via Convex Functions" Dissertation Advisor: Dr. Stephen G. WalkerResearch Interests: Mathematical statistics, Bayesian methods, optimal transportation,...

Graduating PhD Student Spotlight: Su Chen

Su Chen PhD in Statistics, The University of Texas at Austin (Summer 2020)MS in Mathematics, The University of Texas at AustinBS in Applied Math, Zhejiang UniversityDissertation: "Bayesian Variable Selection and Hypothesis Testing" Dissertation Advisor: Dr. Stephen WalkerResearch Interests: Bayesian methods with applications in machine learning and data scienceDescribe your research.The general topic of...

Updated: New Model Forecasts When States Likely to See Peak in COVID-19

By Marc G Airhart Original Article A computer model from the UT COVID-19 Modeling Consortium forecasts daily deaths from COVID-19 for the entire US and each state. Credit: University of Texas at Austin. A model that projects COVID-19 deaths for all 50 U.S. states using geolocation data from cellphones to...

SSI Course Spotlight: Scalable Machine Learning: Methods and Tools

The Department of Statistics and Data Sciences at The University of Texas at Austin is hosting the 13th annual UT Summer Statistics Institute (SSI) May 26–29, 2020! Learn more and register.   What is the course?  This course introduces participants to common methods and tools for machine learning in practice and...

SSI Course Spotlight: Introduction to SQL and Relational Database Design

The Department of Statistics and Data Sciences at The University of Texas at Austin is hosting the 13th annual UT Summer Statistics Institute (SSI) May 26–29, 2020! Learn more and register. What is the course? This course will teach interested parties the basics of relational database design and Structured Query Language...

SSI Course Spotlight: Introduction to Data Analysis and Graphics using R

The Department of Statistics and Data Sciences at The University of Texas at Austin is hosting the 13th annual UT Summer Statistics Institute (SSI) May 26–29, 2020! Learn more and register. What is this course?  Introduction to Data Analysis and Graphics using R is a hands-on course intended to provide first-time...

SSI Course Spotlight: Introduction to Bayesian Statistics

The Department of Statistics and Data Sciences at The University of Texas at Austin is hosting the 13th annual UT Summer Statistics Institute (SSI) May 26–29, 2020! Learn more and register. What is the course?  Introduction to Bayesian Statistics will cover probability basics, common continuous/discrete probability distributions, likelihood functions, and Bayes'...

SDS FOCUS - Summer & Fall 2020 Registration

Summer and Fall 2020 registration for UT Austin begins on Monday, April 27th. The registrar will publish the schedule on Wednesday, April 8th. Find the access times during which you can register online by checking your Registration Information Sheet. Undergraduate Students• Undergraduate level courses are offered under course code SDS. Please note: SDS does not currently...

Graduating PhD Student Spotlight: Mingzhang Yin

Mingzhang Yin PhD in Statistics, The University of Texas at Austin (Spring 2020)BS in Mathematics and Applied Mathematics, Fudan UniversityDissertation: "Variational Methods with Dependence Structure"Dissertation Advisor: Dr. Mingyuan ZhouResearch Interests: Bayesian methods, Causal inference and Deep LearningWebsite: https://mingzhang-yin.github.io What does your research focus on? How is it applied?My research areas are Bayesian statistics and...

Graduating PhD Student Spotlight: Jennifer Starling

JENNIFER STARLING PhD in Statistics, UT Austin (Spring 2020)MS in Statistics, Texas A&M UniversityBS in Mathematics, Virginia TechDissertation: "Bayesian methods for complex data structures, with applications to precision medicine in women’s healthcare"Dissertation Advisor: Dr. James ScottResearch Interests: Bayesian methods, nonparametric regression, tree-based models, causal inference, public health, women's health, obstetricsWebsite: https://jestarling.github.ioWhat does your research...

A New Texas COVID-19 Pandemic Toolkit Shows the Importance of Social Distancing

Since 2012 a pandemic-planning tool developed by researchers at The University of Texas at Austin has helped public health officials plan for the consequences of a deadly and virulent virus. Now the pandemic modeler who developed the toolkit is studying COVID-19 and has built a new model to project the...

SDS Staff Working Remotely Beginning March 16, 2020

As of Monday, March 16, 2020 all SDS staff are working remotely. Please direct all questions or requests to stat.admin@austin.utexas.edu.  Thank you,  SDS Staff 

SDS Student Employees Attend LeaderShape Institute

29 January 2020—In January 2020, two Department of Statistics and Data Science student employees, Kevin Nguyen (he/him) and Nova Rose Brown (they/them), attended the LeaderShape Institute, a  6-day program that covered self-discovery, skills that are applicable to not only the workplace but in personal life, and communication skills. Hosted by the...

Jennifer Starling: SBSS AWARD WINNER

23 January 2020—Statistics doctoral candidate Jennifer Starling has been selected as one of ten Section of Bayesian Statistical Science (SBSS) student paper award winners for Joint Statistical Meetings 2020.  Jennifer is advised by Dr. James Scott. Her paper is titled "BART with Targeted Smoothing: An analysis of patient-specific stillbirth risk"...

SDS Launches Undergraduate Research Forum in Fall 2019

22 January 2020—In December 2019, almost 1800 undergraduate students enrolled in SDS 301, 302, 328M, and 358 presented their original research to their classmates, faculty, and the UT commnity at large. This poster session replaced a traditional final exam as an innovative and engaging way to showcase what the students have...

Registration is Open for the 2020 Summer Statistics Institute

REGISTER NOW   The Department of Statistics and Data Sciences at The University of Texas at Austin is hosting the 13th annual UT Summer Statistics Institute (SSI) May 26–29, 2020.   Registration begins January 15, 2020 To learn more about 2020 courses and general information please visit cvent.utexas.edu/2020SSI Registration or review the 2020...

SDS FOCUS - When Stats isn't Stats (STA 309, EDP 371, etc)

23 July 2019—Acronyms quickly become an additional language to anyone studying or working at The University of Texas at Austin. Because of this, attempting to clarify questions about certain courses can be a lesson in frustration when you are not sure you have contacted the right department. Here at SDS we...

UT Announces 21 New Computing Faculty Hires

Dr. Catherine Calder, Chair, Department of Statistics and Data Sciences UT Announces 21 New Computing Faculty Hires Largest computing recruitment in history expands campus expertisehttps://computing.utexas.edu/news/561 With growing enrollment and exploding student interest in computing on campus, The University of Texas at Austin hired 21 new computing faculty members across five...

UT Austin Launches Institute to Harness the Data Revolution

Original article by Aaron Dubrow: https://cns.utexas.edu/news/ut-austin-launches-institute-to-harness-the-data-revolution $1.5M award from National Science Foundation to support cross-disciplinary machine learning and data science research Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.The University of Texas at Austin announced this week that...

SDS PhD Student Bootcamp Recap

  AN OPPORTUNITY TO CONNECT & LEARN On October 17th – 18th, 2019, the UT Department of Statistics and Data Sciences held a PhD Student Bootcamp aimed at helping new PhD in Statistics students prepare for their studies here at UT. Presenters at the Bootcamp included a mix of SDS Faculty and established PhD...