The U.S. Department of Energy’s Energy Earthshots Initiative aims to accelerate breakthroughs of more abundant, affordable and reliable clean energy solutions, to tackle the toughest remaining barriers to addressing the […]
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT In this talk, I will discuss how we engineered the foundation of […]
Abstract: One of the main challenges in the molecular sciences is identifying promising candidates for a target application given the virtually limitless number of possibilities. Computer simulations and machine learning […]
Researchers have documented race and gender bias in STEM for decades, but there has been little parallel examination of LGBTQ status as an axis of inequality. How do LGBTQ-identifying STEM […]
Abstract: Cobalt, nickel, and lithium are essential ingredients in today’s lithium-ion batteries (LIBs), but their continued use presents economic, ethical, and environmental challenges. Society must now begin to consider the […]
Many of the colors found in nature, such as those of iridescent, color-shifting organisms like beetles, butterflies, and birds, are structural colors. Structural coloration is often generated by optical interference […]
Cells use genetically-encoded molecular circuits to execute diverse biological functions. We are developing novel tools of synthetic biology that allow us to construct regulatory circuitry inside living cells that recapitulate […]
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Simulation-to-reality transfer is an emerging approach that enables robots to develop […]
Salps and siphonophores are widespread marine animals that occur in centimeters to meters-long colonial chains and employ multiple, pulsed swimming jets. We use a combination of approaches including in situ […]
Many constrained sequential decision-making processes such as safe AV navigation, wireless network control, caching, cloud computing, etc., can be cast as Constrained Markov Decision Processes (CMDP). Reinforcement Learning (RL) algorithms […]
