Statistics experts at Rice University available for interviews, background, media opportunities
Rice’s Department of Statistics houses internationally recognized experts whose work spans infectious disease modeling, artificial intelligence and machine learning, climate and environmental analytics, quantitative finance, genomics, neuroimaging, applied probability and more.
The Data-to-Knowledge (D2K) lab at Rice’s George R. Brown School of Engineering and Computing is a hub for data science solutions that conducts a semester-long program for undergraduates and master’s students to partner with governmental agencies, industry and community sponsors to solve real-world interdisciplinary challenges of scientific, local and global importance.
AI-powered alerts may cut kidney complications after heart surgery
A new collaboration between Rice and Baylor College of Medicine is using artificial intelligence to alert clinicians to early signs of kidney trouble giving them critical time to intervene before lasting damage occurs.
Recent research from Rice and Houston Methodist shows how data-driven methods can sharpen doctors’ decisions for patients with aortic regurgitation, a common heart condition where the heart valve doesn’t close properly and blood leaks backward into the heart.
A collaboration between Rice, Baylor College of Medicine and Texas Children’s Hospital’s Jan and Dan Duncan Neurological Research Institute (NRI) has produced a breakthrough in how to study and classify complex diseases.
Rice statistician earns CPRIT award to advance AI-powered precision medicine for prostate cancer
Rice statistician Erzsébet Merényi is part of a team of researchers awarded $1 million by the Cancer Prevention and Research Institute of Texas to develop AI tools that can identify lethal forms of prostate cancer earlier and improve treatment selection.
Rice computer scientists develop solutions for making AI models more efficient and customizable
A team of researchers at Rice is working on solutions to make AI models less expensive and more accessible, customizable and environmentally friendly.
Rise of DeepSeek: Experts weigh in on the disruptive impact of new Chinese open-source AI model
Rice AI experts are available to discuss DeepSeek and weigh in on what it means for the future of AI.
Rice experts are available to provide insights on the Super Bowl’s multifaceted appeal.
Rice and Houston Methodist award seed grants for digital health research
The grants aim to accelerate the translation of technologies into clinical applications.
Rice and MD Anderson launch initiative to advance cancer-focused operations research
Rice and the University of Texas MD Anderson Cancer Center today announced the launch of the Center for Operations Research in Cancer, a joint initiative to solve complex challenges in cancer care using data science to make better operational decisions.
Breaking MAD: Generative AI could break the internet
Rice researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.
Rice engineers develop innovative microbiome analysis software tools
Rice engineers have developed two new graph-based computational tools for tracking genomic variation within microbiomes.
Rice researcher using statistics to shed light on the untold story of Africa’s Lake Chad Basin
Lake Chad, a large, shallow body of freshwater in North Central Africa, is vitally important to the livelihood of tens of millions of people living in the semi-arid, remote and impoverished region. Over the decades, the area’s inhabitants have adapted to extreme conditions affecting their water resources.
Rice helping study how soil health improvement can boost crops
America’s farmers rely on a host of practices such as cover cropping and crop rotation to maintain soil health, grow more productive crops and feed the U.S. and countries around the world. However, current research is too sparse to precisely demonstrate how these practices can actually affect the yields and bottom line for farmers.
