Royal Society

Four Cambridge academics are among the new Fellows announced today by the Royal Society and chosen for their outstanding contributions to science.

For their outstanding contributions to research and innovation, both now and in the future, it gives me great pleasure to welcome the world鈥檚 best scientists into the ranks of the Royal Society

Sir Venki Ramakrishnan

探花直播50 newly-elected Fellows announced today join a list of scientists, engineers and technologists from the UK and Commonwealth. Past Fellows and Foreign Members have included Newton, Darwin and Einstein.

探花直播Cambridge academics announced today as Royal Society Fellows are:

  • Alexander Dawid, Emeritus Professor of Statistics, Department of Pure Mathematics and Mathematical Statistics
  • Gregory Hannon, Royal Society Wolfson Research Professor of Molecular Cancer Biology and Director, Cancer Research UK Cambridge Institute
  • Judy Hirst, Deputy Director, MRC Mitochondrial Biology Unit
  • Lalita Ramakrishnan, Professor of Immunology and Infectious Diseases and Head of Molecular Immunity Unit, Department of Medicine

Sir Venki Ramakrishnan, President of the Royal Society, says: 鈥淥ur Fellows are key to the Royal Society鈥檚 fundamental purpose of using science for the benefit of humanity. For their outstanding contributions to research and innovation, both now and in the future, it gives me great pleasure to welcome the world鈥檚 best scientists into the ranks of the Royal Society.鈥

探花直播new Fellows will be formally admitted to the Society at the Admissions Day ceremony in July, when they will sign the Charter Book and the Obligation of the Fellows of the Royal Society.

View the听full list of

Professor Simon Tavare elected as a Foreign Member of US National Academy of Sciences

Professor听Simon听Tavare, former Director of the Cancer Research UK Cambridge Institute, has been .听

Professor Tavare works at the interface of the mathematical sciences and the biological and medical sciences.听He pioneered probabilistic and statistical aspects of coalescent theory, full likelihood-based methods for sequence variation data, methods for ancestral inference, evolutionary approaches to cancer, and approximate Bayesian computation for inference in complex stochastic processes.


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