Abstract: We are in the midst of an AI hypecycle. Large language models are everywhere you look – and they are increasingly being integrated into biomedical research and clinical care.  The potential upside for AI is sky high and yet, haven’t we been here before?  In this seminar, I will review why AI, and particularly machine […]

Abstract: Rare variants significantly impact complex diseases. This presentation will first introduce SAIGE-GENE and SAIGE-GENE+, methodologies extending SAIGE to gene/region-based rare variant tests. These methods efficiently utilize mixed effects models to adjust for sample relatedness and saddlepoint approximations to account for case-control imbalance. SAIGE-GENE+ additionally incorporates functional annotations and collapsing of ultra-rare variants that can help to improve […]

Abstract Contact interactions, including adhesion and friction, are critical to the design of many engineered systems. Currently, most systems rely on materials with static mechanical properties, requiring careful selection of materials to realize effective systems for specialized tasks. However, with advances in smart materials, system design is no longer limited to materials with static properties. […]

Abstract: We are laying the foundations of AI for molecular discovery and drug design, eventually enabling AI to learn and innovate on its own. Instead of training separate models for every task, we leverage large language and geometric models across many tasks through fine-tuning and few-shot prompting. Central to our approach is the integration of molecular […]