Anand Chandrasekhar

Join for a Leading Edge webinar on how AI, machine learning, and computational tools are revolutionizing materials discovery and development. Gain valuable insights into advanced algorithms, data-driven approaches, and the future of automated material synthesis that are transforming the field from initial design to real-world applications.

In response to new business models, accelerated timelines, and unforeseen market dynamics, healthcare companies are seeking to innovate rapidly and effectively to meet new challenges. A key criterion for success is the adoption of cutting-edge tools that derisk and accelerate the drug development process. Investment in these tools pays dividends across a company's pipeline.

In today’s dynamic landscape, manufacturing and supply chain operations face increasing complexity, driven by global risks, environmental considerations, and rapid technological advancements. The upcoming MIT ILP Lead Edge Webinar, Manufacturing and Supply Chain, will explore critical challenges and emerging strategies shaping the sector's future. Topics will include managing supply chain risks, evaluating environmental impact scenarios, and leveraging AI and digitalization to improve operational efficiency and resilience. The webinar will also address approaches to carbon footprint mitigation and the role of accurate carbon accounting in advancing sustainability objectives.

This Leading Edge webinar explores the dynamic relationship between AI and human behavior, uncovering how algorithms influence decision-making, shape societal norms, and even alter cognitive processes.