A5012955194- COVID-19 epidemiological studies
- Artificial Immune Systems Applications
- Viral Infections and Outbreaks Research
- Health and Conflict Studies
- Machine Learning in Healthcare
- Evolution and Genetic Dynamics
- Space Science and Extraterrestrial Life
- Mosquito-borne diseases and control
- Explainable Artificial Intelligence (XAI)
- Privacy-Preserving Technologies in Data
- Monoclonal and Polyclonal Antibodies Research
- Complex Network Analysis Techniques
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced Malware Detection Techniques
- Ethics and Social Impacts of AI
- Data Quality and Management
- Artificial Intelligence in Healthcare and Education
- Computability, Logic, AI Algorithms
- Maritime Ports and Logistics
- Molecular Communication and Nanonetworks
- Origins and Evolution of Life
- vaccines and immunoinformatics approaches
- Scientific Computing and Data Management
- Chronic Lymphocytic Leukemia Research
- Earth Systems and Cosmic Evolution
University of Cambridge
2018-2024
Indian Institute of Technology Kanpur
2023-2024
Broad Institute
2014-2023
Ronin Institute
2014-2023
University of New Mexico
2009-2023
Harvard University Press
2016-2023
Medical Research Council
2022
MRC Epidemiology Unit
2022
The Open University
2022
Newcastle University
2022
Microbial community metabolomics, particularly in the human gut, are beginning to provide a new route identify functions and ecology disrupted disease. However, these data can be costly difficult obtain at scale, while amplicon or shotgun metagenomic sequencing readily available for populations of many thousands. Here, we describe computational approach predict potentially unobserved metabolites microbial communities, given model trained on paired metabolomes metagenomes from environment...
Rho GTPase-based signaling networks control cellular dynamics by coordinating protrusions and retractions in space time. Here, we reveal a network that generates pulses propagating waves of cell contractions. These dynamic patterns emerge via self-organization from an activator-inhibitor network, which the small GTPase amplifies its activity recruiting activator, guanine nucleotide exchange factor GEF-H1. also inhibits itself local recruitment actomyosin associated RhoGAP Myo9b. This...
Dysregulated immune responses are the cause of IBDs. Studies in mice and humans suggest a central role interleukin (IL)-23-producing mononuclear phagocytes disease pathogenesis. Mechanistic insights into regulation IL-23 prerequisite for selective targeting therapies as part personalised medicine.We performed transcriptomic analysis to investigate expression human peripheral blood cells. We investigated used single-cell RNA sequencing derive signature hyperinflammatory monocytes. Using gene...
West Nile virus (WNV) is an emerging pathogen that has decimated bird populations and caused severe outbreaks of viral encephalitis in humans. Currently, little known about the within-host kinetics WNV during infection. We developed mathematical models to describe replication, spread host immune response wild-type immunocompromised mice. Our approach fits a target cell-limited model viremia data from knockout mice adaptive Using this approach, we first estimate parameters governing...
Abstract Chemically induced dimerization (CID) has proven to be a powerful tool for modulating protein interactions. However, the traditional dimerizer rapamycin limitations in certain vivo applications because of its slow reversibility and affinity endogenous proteins. Described herein is bioorthogonal system rapidly reversible CID. A novel with synthetic ligand FKBP′ (SLF′) linked trimethoprim (TMP). The SLF′ moiety binds F36V mutant FK506‐binding (FKBP) TMP E. coli dihydrofolate reductase...
Local cell contraction pulses play important roles in tissue and morphogenesis. Here, we improve a chemo-optogenetic approach apply it to investigate the signal network that generates these pulses. We use measurements derive parameterize system of ordinary differential equations describing temporal dynamics. Bifurcation analysis numerical simulations predict strong dependence oscillatory dynamics on concentration GEF-H1, an Lbc-type RhoGEF, which mediates positive feedback amplification Rho...
In the race toward creating a strong AI, we have historicallyfocused on replicating human intelligence. For manyadvanced tasks such as language and image generation, complexclassifications in fields medicine, computer visionand other sensor data self-driving cars, beensuccessful. However, for complex behaviours like creativity,we often deem machines incapable. Maybe are desperateto something of our own, that could never do.Maybe too prideful own What ifwe were tasked to build truly creative...
Automated decision-making systems are becoming more prevalent across a range of fields. For example, they used the finance industry to decide whether customers entitled loans, and in medicine support clinical decisions. With decisions that substantially impact individual lives, users will often want explanations why these were made. Indeed, current in-progress legal frameworks have begun require these. GDPR entitles about made by automated systems. Similarly, Algorithmic Accountability Act...
This work explores the design, implementation, and usageof generative agents towards simulating human behaviour.Through (mis)information spread, we investigatethe emergent social behaviours they produce.Generative demonstrate robustness to(mis)information showing realistic conversationalpatterns. However, this limits agents’abilities to realistically simulate human-like informationdissemination. Generative also exhibit novel andrealistic behaviours, such as deception,confrontation,...
The Abstraction and Reasoning Corpus (ARC) benchmarksgeneral artificial intelligence, presenting a significant challengeto existing machine learning models program synthesissolvers due to its focus on broad generalization. In thiswork, we introduce Multi-Agent System with Reflection(MASR) for ARC. MASR combines Large Language Models(LLMs) synthesis solver based DomainSpecific (DSL). We analyse the accuracy ofLLMs ARC demonstrate unsatisfactory results. Wecreate AugARC, an augmented...
The technosphere, an emergent system of human-createdtechnologies and infrastructures, is undergoing a critical transition.In its current immature form, it not self-sustaining,relying on unsustainable practices that degrade ecosystemsand social systems essential for operation. We argue thatsuperintelligence can be conceptualized as propertyof the technosphere—a vast, interconnected web humansand computers. This complex encompasses notjust technology, but also intricate networks supplychains,...
Understanding how quickly pathogens replicate and the immune system responds is important for predicting epidemic spread of emerging pathogens. Host body size, through its correlation with metabolic rates, theoretically predicted to impact pathogen replication rates response rates. Here, we use mathematical models viral time courses from multiple species birds infected by a generalist (West Nile Virus; WNV) test more thoroughly disease progression depend on mass host phylogeny. We...
Abstract While cities have been the engine for innovation and growth many millennia, they also endured disproportionately more crime than smaller cities. Similarly to other urban sociological quantities, such as income, gross domestic product (GDP) number of granted patents, it has observed that scales super-linearly with city size. The default assumption is super-linear scaling crime, like attributes, derives from agglomerative effects (that is, increasing returns potentially productive...
Distributed search problems are ubiquitous in Artificial Life (ALife). Many distributed require identifying a rare and previously unseen event producing rapid response. This challenge amounts to finding removing an unknown needle very large haystack. Traditional computational models unlikely find, nonetheless, appropriately respond to, novel events, particularly given data across multiple platforms variety of formats sources with variable reliability. Biological systems have evolved...
Intelligence and consciousness have fascinated humanity for a long time we sought to replicate this in machines.In work, show some design principles compassionate conscious artificial intelligence.We present computational framework engineering intelligence, empathy, machines.We hope that will allow us better understand machines are empathetic.Our is also shift the discussion from fear of intelligence towards designing embed our cherished values.Consciousness, empathy would be worthy goals...