MEAM Seminar: “Collective Transitions in Beating Cilia and Swimming Fish”
I will discuss the collective modes that spontaneously emerge in ciliary carpets and fish schools. In both systems, the fluid medium couples the motion of individuals in the group. Flow […]
PICS Colloquium: “Representations Learnt from Synthetic Volumes Enable Training-free Medical Image Analysis”
Current medical image analysis projects involve months to years of data annotation and custom technical development. This talk introduces methods to train networks that generalize out-of-the-box to new modalities, anatomies, […]
MEAM Ph.D. Thesis Defense: “Implementation and Performance of Wall Models for Large Eddy Simulation of Non-equilibrium Turbulent Boundary Layers”
Accurate prediction of high-Reynolds-number wall-bounded turbulent flows is essential for the understanding and flow control of many engineering applications such as aircraft, turbomachinery, and marine vehicles. Additionally, most practical flows […]
BE Seminar: “Using Computers to Derive Protein Structure from Sparse Data – A Case Study for Mass Spectrometry” (Steffen Lindert, Ohio State)
Mass spectrometry-based methods such as covalent labeling, surface induced dissociation (SID) or ion mobility (IM) are increasingly used to obtain information about protein structure. However, in contrast to other high-resolution […]
MEAM Ph.D. Thesis Defense: “Computational Study on Rough Wall-Bounded Flows and their Effects at Low and Very-High Reynolds Numbers”
Many relevant engineering fluid dynamics problems, such as turbulent flow over an airplane or transport processes in geophysical flows, contain wall-bounded regions that form boundary layers. Oftentimes, numerical and experimental […]
PICS Colloquium: “Modeling Lone Pair Dynamics in Materials”
Materials properties are governed by the structure and dynamics of the bonds between their constituent atoms. In addition to covalent, metallic, and ionic interactions that we typically think about, lone […]
PICS Colloquium: “Genetic testing and adverse selection”
Technology is dramatically driving down the cost of sequencing genetic data and increasing the quality of predictions made with this data. A standard concern is that these predictions could impair […]
MEAM Seminar: “AI for Antibiotic Discovery”
Computers can be programmed for superhuman pattern recognition of images and text; however, their application in biology and medicine is still in its infancy. In this talk, I will discuss […]
PICS Colloquium: “Wall-models of turbulent flows via scientific multi-agent reinforcement learning”
The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and weather prediction, hinge on the choice of turbulence models. The abundance of data from experiments and simulations and […]
PICS Colloquium: “Exploring the landscape of model representations”
Many studies adopt low-resolution, coarse-grained (CG) models to investigate polymers, proteins, and other soft materials. These studies must first specify the details that are retained in the low-resolution model, i.e., […]