Adtones intelligently tailors mobile ads to users in developing countries and shares the revenue with them to subsidize their phone bills.

Adtones

Boston Consulting Group is a management consulting firm that advises businesses and organizations on strategy, transformation and growth.

Boston  Consulting Group

The BCG Henderson Institute applies insights from academic disciplines to the strategic challenges facing business, government and society.

BCG Henderson Institute

Bit Bio is a human synthetic biology enterprise, which reprograms human cells for use in research, drug discovery and cell therapy.

BitBio

Cancer Research UK supports scientific and medical research to help beat cancer sooner. It is the world's largest cancer research charity.

Cancer Research UK

The Centre for Defence Enterprise funds research that could lead to a capability advantage for the armed forces and national security.

Centre for  Defence Enterprise

The U.S. Defence Advanced Research Projects Agency makes pivotal investments in breakthrough technologies that benefit national security.

Defence Advanced  Research Projects Agency

The U.S. Defence Threat Reduction Agency funds research to prepare for and combat weapons of mass destruction and improvised threats. 

Defence Threat  Reduction Agency

The European Innovation Council funds world-class scientists and innovators to develop and accelerate disruptive technology businesses.

European  Innovation Council

Framework Programme 7 was created by the European Commission to fund scientific research and innovation in Europe and associated countries.

Framework Programme 7

The Garfield Weston Foundation supports a range of charities across the UK and the restoration and redevelopment of their buildings.

Garfield Weston  Foundation

Horizon 2020 was created by the European Commission to fund scientific research and innovation across Europe and other member countries.

Horizon 2020

Invenia is a company of scientists and engineers that uses machine learning to optimize complex decision making and reduce inefficiencies.

Invenia Labs

LIMS Ventures is the start-up incubator of the London Institute which accelerates projects with potential for widespread commercialization.

LIMS Ventures

The Medical Research Council, one of the seven UK Research Councils, supports basic and applied medical research throughout the UK.

Medical Research Council

The U.S. Office of Naval Research supports basic research and technology for future naval power and the preservation of national security.

Office of  Naval Research

The Pilgrim Trust supports the preservation of architecturally important buildings and historically significant artifacts and documents.

Pilgrim Trust

The Porter Foundation supports projects in education, the environment, culture, health and welfare that encourage excellence and innovation.

Porter Foundation

The Rose Foundation provides financial assistance to charities undertaking building restoration and development in and around London.

Rose Foundation

The Edward Harvist Trust supports organisations that improve the quality of life for local people in Westminster and other London boroughs.

Edward Harvist Trust

The European Commission Migration and Home Affairs supports research to ensure the security of the EU and cooperation with non-EU countries.

European Commission  Migration and Home Affairs

The London Institute for Mathematical Sciences

Parallels between the perfect and abundant numbers and their recursive analogs point to deeper structure in the recursive divisor function.

Ample and pristine nos.

Physicists and biologists discuss theoretical models of cell programming and reprogramming, shaped by experimental innovations at Bit Bio.

Reprogramming the cell

Welcome to our new postdoc Ryan Hannam. He’ll be developing theoretical insights into cell programming in our collaboration with BitBio.

Welcome onboard

If the government really wants a rich and diverse ecosystem of scientific research organizations, it should extend core funding to IROs.

From zero to IRO

BitBio has partnered with the London Institute on a moonshot mission to decode cell programming and create every human cell type for use in biomedical research.

Bit Bio-LIMS partnership

In modern statistical inference the number of inferred parameters often grows with the size of the data set. Inference in this high-dimensional regime is a serious challenge for classical statistics, which was developed for when the number of parameters is fixed. As a result, high-dimensional inference is often employed without understanding how it works. In the words of da Vinci, ‘he who loves practice without theory is like a sailor who boards a ship without rudder or compass and knows not where he is cast’.
In this project we use analytic tools from the statistical physics of disordered systems to develop a theory of high-dimensional statistical inference. The parameters of the statistical model play the role of the degrees of freedom and the likelihood of their values plays the role of energy. The inferred parameters correspond to the lowest energy state. Among other techniques, we harness the replica trick to average over the disorder embodied by the data.
A current problem with high-dimensional inference is the propensity to generate unsubstantiated and often unfalsifiable conclusions. A foundational theory will help discriminate between reliable and unreliable inference, as well as inform the design of efficient inference algorithms.

Developing a theory of high-dimensional statistical inference using analytic tools from the statistical physics of disordered systems.

Inference in many dimensions

Taming limitations of general relativity, such as the big bang singularity, by formulating theories that admit bouncing or cyclic universes.

Implications of alternative universes

Developing radical new approaches to inference and automated decision making using advances in quantum information and statistical physics.

Fundamental advances in machine learning

To be sure of achieving a goal in the face of an uncertain future, individuals and organizations pursue plans that can cope with mistakes and unexpected events. One way of doing so is to choose a robust plan: one that is able to absorb any one setback and thereby achieve the goal with certainty. A different strategy is to choose a repairable plan: one that can be easily modified in the face of setbacks such that the goal is achieved, even though the original plan might have failed without modification.
In this project we develop a theory of systems that achieve resilience by being repairable instead of robust. Our approach is to minimize the typical cost of a workaround, averaged over all possible failure modes. We deduce design principles for easily repairable systems and show that repairability is a superior strategy whenever the number of failure modes is high.
Adopting a paradigm of repairability will increase the resilience of technologies and infrastructure to natural and man-made disasters when the next type of failure mode is hard to predict. This includes communication grids, transport networks and technologies for exploring space. It also suggests alternative strategies for sustainability in the face of environmental change.

Developing a new approach to resilience in which mistakes and unexpected events are mitigated by easy repairs rather than redundancy.

Repairable as an alternative to robust

The simplest model of dimension is the hypercube. When the coordinates are given by a binary string, the distance between two strings is the number of spelling mistakes between them. By considering strings made of up more than two symbols, and connecting strings that differ by just one spelling mistake, the hypercube can be generalized into Hamming graphs. In information theory, messages are sent as strings which are subject to errors in transmission. To correct these mistakes, variants of a string must code for the same message as the string itself. In this way error correction is deeply connected to partitioning the Hamming graph into compact clusters.
In this project, we investigate the spectral properties of subgraphs of the hypercube and Hamming graphs. By studying a diffusing population on these graphs, we develop an analogy between mutational robustness and the eigenvalues of subgraphs that code for the same phenotype.
The spectral theory of Hamming graphs has direct applications to the theory of neutral evolution, in which biological information is carried by strings of nucleotides or amino acids. It is also at the heart of Hamming and other error correcting codes, and Hamming graphs feature in association schemes in coding theory.

Exploring the spectral properties of subgraphs of the hypercube and Hamming graphs for insights into coding theory and models of evolution. 

The freedomto do researchfull-time

Inference in many dimensions

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Ample and pristine nos.

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Reprogramming the cell

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