Who We Are
Dr Charmaine Lang PhD
Co-Founder, Oxford Omics · Group Leader & IMCM Fellow, University of Oxford
Dr Charmaine Lang is a molecular neuroscientist who leads the Lang Lab in the Nuffield Department of Medicine at the University of Oxford, where she is an Oxford-GSK Institute of Molecular and Computational Medicine (IMCM) Fellow and Group Leader. Her research combines multi-omic transcriptomics, high-content imaging and advanced iPSC-derived co-culture models to decode the cross-talk between dopamine neurons and astrocytes - a key step toward disease-modifying therapies for Parkinson’s disease.
Originally from Sydney, Charmaine earned a BSc (Hons I) at the University of New South Wales, then completed her PhD at the Garvan Institute of Medical Research, unpacking the partnership between α-synuclein and mitochondrial dysfunction in sporadic Parkinson’s. A post-doctoral fellowship in Richard Wade-Martins’ group brought her to Oxford, where she optimised protocols for differentiating iPSC-derived dopamine neurons and astrocytes and, in 2023, secured the inaugural jointly funded Senior Research Fellowship from Parkinson’s UK and Rosetrees Trust to launch her independent programme.
Charmaine has published landmark studies - including a Cell Stem Cell single-cell sequencing paper that reconstructed Parkinson’s disease progression - and her work has attracted ~900 citations with an h-index of 6. She supervises a multi-disciplinary team, lectures in biomedical sciences, and collaborates closely with industry partners to accelerate target discovery and drug screening.
As co-founder of Oxford Omics, Charmaine bridges cutting-edge wet-lab expertise with the company’s bioinformatics and machine-learning services, ensuring that clients benefit from robust experimental design, high-quality omics data, and translational insight. Her dual roles keep Oxford Omics at the forefront of integrative neurodegeneration research and data-driven innovation.
Core expertise: iPSC-derived neuron and glia models · Multi-omic transcriptomics (bulk, single-cell, spatial) · High-content imaging and cell phenotyping · Parkinson’s disease mechanisms (astrocyte-neuron cross-talk, α-synuclein, mitochondrial dysfunction · Functional genomics and pathway analysis · Translational neurobiology and target discovery · Academic-industry collaboration and research strategy
Dr Peter Kilfeather BVSc PhD MRCVS
Co-Founder & Director of Bioinformatics, Oxford Omics
Dr Peter Kilfeather is a computational biologist and veterinary surgeon whose career spans academic neuroscience and industry-driven precision oncology. Trained in molecular biology, bioinformatics and veterinary medicine, he completed a PhD in the University of Oxford’s Department of Physiology, Anatomy & Genetics, where he pioneered spatial-transcriptomic and translatomic pipelines to chart dopamine-neuron vulnerability in Parkinson’s disease. His Oxford work, supported by UK Medical Research Council and Aligning Science Across Parkinson’s (ASAP) funding, produced resources such as the first integrated spatial transcriptome + translatome atlas of the ageing midbrain.
Peter also served as a consultant and Senior Data Scientist at Function Oncology, a CRISPR-powered precision-medicine start-up. There he helped develop large-scale CRISPR screening assays and machine-learning models that match patient-specific dependency maps to targeted therapies. This work sharpened his expertise in experimental design for pooled and arrayed CRISPR libraries, high-throughput sequencing readouts, and deep-learning approaches for genotype-to-phenotype prediction.
Peter has authored more than a dozen peer-reviewed papers and conference abstracts, attracting recognition as an ASAP Open-Science Champion for making multi-omic datasets openly available. He remains a Member of the Royal College of Veterinary Surgeons and applies his clinical insight to strengthen translational relevance in pre-clinical models.
As Co-Founder and Director of Bioinformatics at Oxford Omics, Peter architects cloud-native workflows that convert raw sequencing, mass-spectrometry and imaging data into reproducible, decision-ready insights for biotech and academic partners. He also mentors post-doctoral scientists and PhD students worldwide, providing strategic guidance on omics-focused study design, statistical power, and data interpretation.
Core expertise: Single-cell & spatial transcriptomics · CRISPR screen design & analysis · Machine-learning model development · LLM engineering · Nextflow R/Python pipelines · Cloud-native workflow engineering · Veterinary translational models · Experimental design & statistics