Big Data and Digital Solutions
Quicker, more accurate diagnoses. Safer drinking water. Better business decisions. Millions of connected devices are churning out billions of data points. With the right analysis, they can help tackle some of the world’s biggest challenges in health care, energy, manufacturing, education and more. We’re using informatics, analytics and high-tech computational modeling to interpret and analyze this mass of raw information and put it to work.
In addition to using digital expertise to transform our physical world, we’re pioneering the latest innovations in augmented and virtual reality, as well as creating other high-tech tools to revolutionize everything from how we teach in the classroom to how we produce on the factory floor.
News: Big Data and Digital Solutions
View All News For Big Data and Digital SolutionsCenters and institutes that conduct research in Big Data and Digital Solutions
Faculty who conduct research in Big Data and Digital Solutions

Marc Buchner
Applies computer gaming technology and digital signal processing, especially VR and AR, to problem-solving in fields including psychology, nursing and medicine

Jennifer Carter
deformation mechanisms of metals and metal-matrix composites; fatigue, fracture, and creep; failure analysis; electron microscopy; 3D microscopy; novel methodologies for multi-scale material characterization; data science and analytics; open science

Vira Chankong
Develops rapid learning and optimization methods for intensity modulated radiation therapy, and develops new paradigm for combinatorial optimization

Harold Connamacher
Applies theoretical computer science techniques to discover problem structures and improve algorithm performance

Chris Fietkiewicz
Develops methods for high-performance computing, modeling and simulation

Roger French
Applies data science and analytics to energy and materials science research problems

Robert Gao
Develops multi-physics sensing and stochastic modeling methods for improving observability in dynamical systems

Mehmet Koyutürk
Develops algorithms for transforming "big" biological data into systems biology knowledge

Daniel Lacks
Develops first-principles molecular-scale theories of chemical processes and materials properties

Jing Li
Develops computational approaches and software tools for genomics, bioinformatics and systems biology, and creates computational solutions for big data analytics

Pan Li
Investigates big data computing and analytics, security and privacy, and their applications in complex systems and networks

Yue Li
Designs and improves resilient buildings and infrastructure
New! Immediate positions for post-doc and Ph.D. students in the following areas: Probabilistic analysis, structural and systems reliability, multi-hazard assessment and mitigation, risk-informed decision making, optimization, vulnerability modeling, resilience quantification, resilient and sustainable civil infrastructure systems, earthquake engineering, wind engineering, impact of climate change and adaptation strategies. Those interested should email Dr. Li a cover letter stating qualifications, relevant experience and research interests, CV, and transcripts.

Anant Madabhushi
Develops and translates computational imaging, AI and machine learning approaches for precision-medicine diagnosis, prognosis, treatment response and prediction

Cameron McIntyre
Engineers the next generation of neuromodulation technology

Andy Podgurski
Develops techniques to assess and improve the reliability and securty of software systems and applications

Michael Rabinovich
Investigates solutions to improve Internet performance, scalability and security

Satish Viswanath
develops novel medical image analysis and machine learning tools for targeting and evaluating interventions

David Wilson
I use image processing and machine/deep learning on biomedical images to advance health.

Yinghui Wu
Devise, design, and develop novel data management and analysis techniques and tools to support data and knowledge management and exploration.