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Spotlights

 

Dr. Abhra Sarkar Awarded NSF Grant

Congratulations to Dr. Abhra Sarkar (Assistant Professor, Department of Statistics and Data Sciences, College of Natural Sciences, The University of Texas at Austin) on his recent National Science Foundation (NSF) award for the project titled, “Novel Statistical Frameworks for Local Inference in Neuroscience of Learning.” Dr. Sarkar will serve as...

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...

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...

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...

Bayesian Statistics Award Winners—Dr. Abhra Sarkar, Kelly Kang, and Tianjian Zhou

9 September 2019—Please join SDS in congratulating Dr. Abhra Sarkar, Kelly Kang, and Dr. Tianjian Zhou for receiving the following prestigious awards for their work in Bayesian Statistics. Dr. Abhra Sarkar, Assistant ProfessorAbhra Sarkar was the lead author of the paper awarded the prestigious Mitchell Prize that is given annually by...

A Growth Mindset Intervention Can Change Students’ Grades if School Culture is Supportive

Article from College of Natural Science News, August 09, 2019: Boosting academic success does not have to derive from new teachers or curriculum; it can also come from changing students' attitudes about their abilities through a short online intervention, according to the latest findings from the National Study of Learning Mindsets...

Dr. Cory Zigler Uses Statistics to Link Air Pollution to Health Impacts

Article from College of Natural Science News, July 31, 2019: As a new academic year approaches, we have a new series to introduce you to some of the newest scientists and mathematicians in our community—faculty who joined UT in the last year. First up: Corwin Zigler, associate professor in UT...

Dr. Corwin M. Zigler Awarded the 2019 Rothman Epidemiology Prize

7 June 2019—Dr. Corwin M. Zigler was recently announced as the winner of the 2019 Rothman Epidemiology Prize.  Excerpt from original article in the Epidemiology Journal The Editors and Editorial Board of Epidemiology are pleased to announce the selection of Corwin M. Zigler as the winner of this year’s Rothman Epidemiology...

Cross-Cutting Conversation: Frontiers in Computational Health

Dean Paul Goldbart invites you to join the next Cross-Cutting Conversation: Frontiers in Computational Health. We look forward to seeing you at an interdisciplinary event for faculty, staff, graduate and medical students and all with an interest in the future of computational health. Join us for a conversation with Kate Calder,...

Dr. James Scott featured in the College of Natural Science News

A Look at How A.I. is Helping the Human Race 31 May 2018—Artificial intelligence is quickly creeping into our lives, from smart phone apps that help us find the quickest path through rush hour traffic to voice assistants that serve up lasagna recipes on command. In their new book, AIQ: How People...

Dr. James Scott's op-ed, "Sweden Actually Protects its Residents' Data. America Should Take Note," featured in Fortune

13 April 2018 As reported in Fortune http://fortune.com/2018/04/13/facebook-mark-zuckerberg-data-privacy-sweden/ As Facebook (FB, +0.44%) CEO Mark Zuckerberg finished his forced march through Congress, his inquisitors were left mumbling confusedly about data-scraping and the Dark Web. Meanwhile, the rest of us were left to ourselves, asking hard questions about how we should react to the way Facebook seems...

BD2K Predoctoral Training Grant in Biomedical Big Data Sciences

17 October 2016—We are thrilled to announce that The University of Texas at Austin was recently awarded a NIH Big Data to Knowledge (BD2K) T32 Training Grant that will support five graduate students in Biomedical Big Data Sciences per year. This pre-doctoral training program is an innovative graduate program that will...

Dr. Sinead Williamson Featured by Women in Machine Learning

10 August 2016—Dr. Sinead Williamson was recently interviewed by the Women in Machine Learning group for its facebook page. In the interview, Sinead details her work on new Bayesian nonparametric models and scalable inference approaches.Read the article here:https://www.facebook.com/WomenInMachineLearning/posts/1390730654275905The annual Workshop for Women in Machine Learning gives female faculty, research scientists, and graduate students in...

UT-Austin Wins Interdisciplinary “Big Data” Grant

22 July 2016—The University of Texas at Austin has received a $1.02 million training grant from the National Institutes of Health to train a new generation of scientists in statistics, biology, and computer science in order to solve important public health problems involving big data and improve overall health. The grant will...

Dr. Purna Sarkar Featured by Women in Machine Learning

23 June 2016—Dr. Purna Sarkar was recently interviewed by the Women in Machine Learning group for its facebook page. In the interview, Purna discusses her research in large scale statistical machine learning problems with a focus on statistical models, asymptotic theory and scalable inference algorithms for large networks. Read the article here:...

Research Spotlight: Common Colds at School a Primary Driver of Asthma Hospitalizations for Children

In this recent study, researchers have uncovered a link between how the virus for the common cold can serve as a predictor for the onset of severe symptoms in children who suffer from asthma. These findings are of great public health significance for they can equally assist patients and schools in...

Research Spotlight: Tom Sager Develops Stress Tests for Banks

23 September 2014—Thalis is a competitive European Union (EU) grant won by a team that includes Professor Tom Sager of the SDS and IROM departments. Other team members include Greek academics, central bank and foreign experts. The EU funds the grant through the government of Greece. Named for the ancient Greek...

“Speed Data-ing” XOXOs

On Tuesday, February 26, SSC core faculty hooked up with invited UT faculty from diverse research areas and external guests in a unique data networking event: SSC Speed Data-ing. An original idea of Director Lauren Ancel Meyers, who admitted she thought of the idea while in the shower, the Valentine-themed “Speed...

Paul Damien Edits Bayesian Theory and Applications

1 February 2013—Oxford University Press has released Bayesian Theory and Applications, a volume of essays that describe all the major ideas in Bayesian statistics, edited by McCombs Professor and SSC Core Faculty member Paul Damien. This volume honors the contributions of Sir Adrian F.M. Smith, one of the seminal Bayesian researchers with...