*Registration Required* Computational & Digital Health Seminar featuring Dr. Fabian Theis Speaker Bio: Fabian Theis is a pioneer in biomedical artificial intelligence and machine learning, advancing in particular the field of single-cell and spatial omics. His work focuses on developing scalable inference methods and foundation models to integrate multimodal data across biological scales, enabling deeper […]
Hosted by Duke AI Health, the Center for Computational and Digital Health Innovation at Duke University, and the Duke Clinical Research Institute (DCRI), this event will bring together experts from healthcare, engineering, industry, and academia to explore how AI can drive health innovation. Duke's strengths in AI product development and healthcare innovation will be leveraged […]
Title: Nematic Alignment of Chains by Shear Flow and its Role in Accelerating Nucleation and Stabilizing Against Edge Fracture Abstract: Applying shear flow to some molten polymer liquids imparts a nematic chain alignment that creates form birefringence. Rheo-optical methods are used to quantify this alignment for high-density polyethylene (HDPE) and poly(ether ether ketone) (PEEK). With […]
Mikhail Shapiro is the Max Delbrück Professor of Chemical Engineering and Medical Engineering, an HHMI Investigator, and Director of the Center for Molecular and Cellular Medicine at Caltech. The Shapiro laboratory develops biomolecular technologies allowing cells to be imaged and controlled inside the body using noninvasive methods such as ultrasound. These technologies enable the study […]
Speaker Bio: The research of the Rubinstein group is in the field of polymer theory and computer simulations. The unique properties of polymeric systems are due to the size, topology and interactions of the molecules they are made of. Our goal is to understand the properties of various polymeric systems and to design new systems […]
Based in Dublin, this exciting new program offers Engineers the opportunity to spend 5 weeks studying the materials that shape modern medicine, while experiencing Ireland's world-class engineering landscape. Program faculty will present details on academics and excursions, followed by Q & A.
This one-hour seminar will introduce the Protected Research Compute Cluster (PRCC), a high-performance, secure computing environment designed for projects involving protected health information (PHI) and other sensitive data. The PRCC is part of the School of Medicine Research Enclave, and it will replace PACE (the Protected Analytics Computing Environment). We'll discuss the system architecture, how […]
Claudia Fischbach-Teschl is the James M & Marsha McCormick Director and Stanley Bryer 1946 Professor of Biomedical Engineering at Cornell University. She received her Ph.D. in Pharmaceutical Technology from the University of Regensburg, Germany and conducted her postdoctoral work at Harvard University in the Division of Engineering and Applied Sciences. Her lab utilizes engineering tools […]
Abstract: The rational design and control of defects in electronic ceramics is critical for property control and optimizing electronic or electrochemical device performance. Point defects, in particular, influence properties such as conductivity, electric polarization and, as most recently discovered, the ability to switch polarization to engender ferroelectricity in wurtzite-structure materials. In polycrystalline materials, the interactions […]
Abstract: Designing AI systems that are both fast and efficient has become a cornerstone for scaling modern machine learning to real-world impact. In this talk, I will present a unified view of my research contributions that push the limits of training and deploying large-scale AI models efficiently, without compromising performance. I will first introduce LARS […]
Title: Automating Computational Materials Design with Explainable AI Abstract: High-throughput density functional theory (DFT) calculations have the capability to quickly screen thousands of materials to identify the top candidates for myriad of energy and sustainability applications. However, despite its impressive efficiency relative to experiments, computational screening is still incapable of exploring the entirety of materials […]
Meet the 2026 project leads for Data+, Code+, CS+, Math+ Climate+, Arts+, Doc+, History+ and Applied Ethics! Representatives will be available for questions about the programs and our 2026 projects. Learn more about how to apply!
