David Heath – författare

In Longshot, investigative journalist David Heath takes readers inside the small group of scientists whose groundbreaking work was once largely dismissed but whose feat will now eclipse the importance of Jonas Salk's polio vaccine in medical history. With never-before-reported details, Heath reveals how these scientists overcame countless obstacles to give the world an unprecedented head start when we needed a COVID-19 vaccine. The story really begins in the 1990s, with a series of discoveries that were timed perfectly to prepare us for the worst pandemic since 1918. Readers will meet Katalin Karikó, who made it possible to use messenger RNA in vaccines but struggled for years just to hang on to her job. There's also Derrick Rossi, who leveraged Karikó's work to found Moderna but was eventually expelled from his company. And then there's Barney Graham at the National Institutes of Health, who had a career-long obsession with solving the riddle of why two toddlers died in a vaccine trial in 1966, a tragedy that ultimately led to a critical breakthrough in vaccine science. With both foresight and luck, Graham and these other crucial scientists set the course for a coronavirus vaccine years before COVID-19 emerged in Wuhan, China. The author draws on hundreds of hours of interviews with key players to tell the definitive story about how the race to create the vaccine sparked a revolution in medical science.

This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.

In recent years products based on ?nancial derivatives have become an ind- pensabletoolforriskmanagersandinvestors. Insuranceproductshavebecome part of almost every personal and business portfolio. The management of - tual and pension funds has gained in importance for most individuals. Banks, insurance companies and other corporations are increasingly using ?nancial and insurance instruments for the active management of risk. An increasing range of securities allows risks to be hedged in a way that can be closely t- lored to the speci?c needs of particular investors and companies. The ability to handle e?ciently and exploit successfully the opportunities arising from modern quantitative methods is now a key factor that di?erentiates market participants in both the ?nance and insurance ?elds. For these reasons it is important that ?nancial institutions, insurance companies and corporations develop expertise in the area of quantitative ?nance, where many of the as- ciated quantitative methods and technologies emerge. This book aims to provide an introduction to quantitative ?nance. More precisely, it presents an introduction to the mathematical framework typically usedin?nancialmodeling,derivativepricing,portfolioselectionandriskm- agement. It o?ers a uni?ed approach to risk and performance management by using the benchmark approach, which is di?erent to the prevailing paradigm and will be described in a systematic and rigorous manner. This approach uses the growth optimal portfolio as numeraire and the real world probability measure as pricing measure.