Alejo J Nevado-Holgado

Alejo J Nevado-Holgado is an Associate Professor at the University of Oxford, holding joint appointments in the Department of Psychiatry and the Big Data Institute. He is a key member of Dementia Research Oxford and co-heads the Computational and Molecular Neuroscience laboratory alongside Professor Noel Buckley. His interdisciplinary research team comprises approximately 20 scientists specializing in AI, biochemistry, and bioinformatics, working at the intersection of computational methods and neurological health.

Dr. Nevado-Holgado completed his PhD in the University of Bristol, Department of Computer Science, under the supervision of Dr. Rafal Bogacz and Dr. John Terry. His doctoral research focused on mathematical modeling, signal analysis, and machine learning applied to the study of the basal ganglia and Parkinson's disease. Following experimental training at Cambridge, he shifted his focus to applying machine learning and bioinformatics to neurodegeneration research, particularly investigating biomarkers and metabolic networks in Alzheimer's and Parkinson's diseases.

Dr. Nevado-Holgado's research program centers on leveraging artificial intelligence and bioinformatics to transform mental health care and drug discovery. His laboratory develops and applies state-of-the-art iPSC, AI, and bioinformatic techniques to better understand neurological disorders. The team's work spans multiple domains including:

• Neural networks applied to genetics, transcriptomics, proteomics, and iPSC cell microscopy
• Analysis of Electronic Health Records using natural language processing
• Integration of biotech laboratory data with real-world clinical evidence
• Development of personalized medicine approaches and drug repurposing strategies
• High-performance computing solutions for large-scale biomedical data analysis

His recent publication record demonstrates a strong focus on applying AI to mental health diagnostics, neurodegenerative disease biomarkers, and multi-omics data integration. Notable trends include the increasing application of large language models to clinical text analysis, the development of proteomic aging clocks, and the integration of environmental and genetic factors in understanding aging and mortality. His work consistently bridges computational innovation with clinical relevance, seeking to detect neurological disorders in their prodromal stages when interventions could be most effective.

Dr. Nevado-Holgado leads or participates in multiple significant research initiatives:

• Virtual Brain Cloud (EU H2020): €1.5 million European consortium investigating computational simulations for Alzheimer's diagnosis
• Microbiome in depression (NIH U19): $27 million consortium studying microbiome's role in depression
• Metabolomics in dementia (MOVE-AD): Consortium investigating metabolomics of dementia
• Industry projects: £900,000 in funding for applying neural networks to genomics data
• Blood-brain axis of Alzheimer's disease (AMP-AD): $330,000 project investigating protein levels in Alzheimer's

His laboratory team includes lead scientists Laura Winchester (bioinformatics) and Andrey Kormilitzin (AI), along with researchers specializing in genetics, AI microscopy, AI NLP, AI imaging, and iPSC models. The lab actively recruits additional researchers in AI NLP and bioinformatics, reflecting the growing scope of their computational neuroscience work.