Dimitrios Kyriakis

Dimitrios Kyriakis, PhD

Bioinformatics consultant for single-cell neurogenomics

I turn single-nucleus and bulk sequencing data from the human brain into results you can defend in review: from raw counts and cell-type annotation to disease signatures and the figures that go in the paper.

Currently consulting for the Roussos Lab at Icahn School of Medicine at Mount Sinai.

Illustrative embedding of simulated brain nuclei

About

I'm a computational biologist working on neurodegenerative and neuropsychiatric disease. My PhD at the Luxembourg Centre for Systems Biomedicine used single-cell transcriptomics to follow Parkinson's disease through iPSC-derived neuronal differentiation and to map microglial heterogeneity in the brain.

Since 2022 I've worked with Panos Roussos's group at Mount Sinai, first as a visiting researcher and postdoc and now as a consultant, on population-scale single-nucleus data from the human brain and on human brain tissue models.

Before that I trained in biology at Aristotle University of Thessaloniki and in bioinformatics at the University of Crete, working on population genetics and transcriptomics in fish. That background still shows in how I approach study design and genetic data.

I also take on independent projects through EvoDecode BioInsights, my consultancy based in Thessaloniki.

Dimitrios Kyriakis outdoors

Services

  • Single-cell and single-nucleus RNA-seq

    QC, doublet and ambient-RNA handling, integration across batches and donors, clustering and annotation that holds up at the donor level.

  • Reference mapping and label transfer

    Projecting new datasets onto large brain atlases with scVI/scANVI, with seed-robust consensus labels and checks you can show a reviewer.

  • Disease and differential expression

    Pseudo-bulk models with the right covariates, cell-type composition analysis, and pathway and network interpretation.

  • Bulk RNA-seq

    Differential expression, alternative splicing and functional enrichment, from FASTQ to publication figures.

  • Genetics

    GWAS, genetic mapping of traits and variant-level analyses that connect risk loci to cell types.

  • Reproducible pipelines

    Snakemake workflows on HPC, version-controlled code and documentation your team can rerun after I leave.

Skills

Programming

  • R (Bioconductor, tidyverse)
  • Python (scanpy, AnnData, pandas)
  • Bash
  • rpy2 and anndata2ri for mixed R/Python workflows

Single-cell and single-nucleus RNA-seq

  • Cell Ranger
  • Seurat
  • scanpy
  • Pegasus
  • ambient RNA removal (SoupX)
  • doublet detection (scDblFinder)
  • SCTransform

Integration and annotation

  • scVI and scANVI (scvi-tools)
  • Harmony
  • LIGER
  • Conos
  • reference mapping and label transfer
  • SingleR
  • Garnett
  • UCell

Statistics and differential expression

  • pseudo-bulk mixed models (dreamlet, variancePartition, lme4)
  • muscat
  • DESeq2
  • compositional analysis (crumblr)
  • meta-analysis (metafor)

Trajectories and dynamics

  • Monocle
  • Slingshot
  • tradeSeq
  • time-series single-cell analysis

Gene regulation and networks

  • pySCENIC
  • WGCNA and hdWGCNA
  • GENIE3
  • Bayesian networks (bnlearn)
  • STRING
  • Cytoscape (RCy3)

Cell–cell communication

  • CellChat
  • LIANA
  • ligand–receptor analysis

Pathways and interpretation

  • clusterProfiler
  • fgsea
  • ReactomePA
  • MSigDB
  • zenith
  • decoupler

Genetics and translation

  • GWAS integration with single-cell data (scDRS)
  • ddRAD-seq and genetic mapping
  • computational drug repurposing (CMap)

Reproducibility

  • Snakemake
  • conda
  • Docker and Singularity
  • Git and GitHub
  • versioned code releases with Zenodo DOIs

Visualization

  • ggplot2
  • ComplexHeatmap
  • matplotlib and seaborn
  • publication-ready figures

Data and biology

  • human post-mortem brain
  • iPSC-derived neurons
  • brain organoid and miBrain models
  • peripheral immune cells
  • mouse microglia

Experience

  1. 2024 – now

    Bioinformatics Consultant

    Icahn School of Medicine at Mount Sinai, Roussos Lab

    Computational biology for neurodegenerative disease.

  2. 2023 – 2024

    Postdoctoral Researcher

    Icahn School of Medicine at Mount Sinai, Roussos Lab

    Computational biology for neurodegenerative disease.

  3. 2022 – 2023

    Postdoctoral Researcher

    University of Luxembourg, Skupin group

    Single-cell analysis of Parkinson's disease models.

  4. 2022

    Visiting Researcher

    Icahn School of Medicine at Mount Sinai, Roussos Lab

  5. 2017

    Assistant Researcher

    Computational Biology Lab, IMBB-FORTH, Heraklion

    Modelling mossy cells in the hippocampus.

  6. 2015 – 2016

    Erasmus Intern

    Wageningen UR, Animal Breeding and Genomics

    Transcriptome assembly and annotation of yellowtail kingfish.

  7. 2014

    Intern

    Hellenic Centre for Marine Research, Heraklion

    Genetic differentiation of pikeperch; introduction to RNA-seq analysis.

Education

  1. 2018 – 2022

    PhD, Computational Biology

    Luxembourg Centre for Systems Biomedicine, University of Luxembourg

    Single-cell biology of neurodegenerative disease. Supervisor: Alexander Skupin.

  2. 2016 – 2018

    MSc, Bioinformatics

    School of Medicine, University of Crete

    Genetic mapping of phenotypic traits in gilthead seabream from ddRAD-seq.

  3. 2010 – 2016

    BSc, Biology

    Aristotle University of Thessaloniki

Publications

2026

Decoding immune landscapes and therapeutic targets in intracerebral hemorrhageKyriakis D, Wang X, Pavlopoulos A, Vicari J, Kleopoulos SP, et al., Roussos PManuscript in preparation

2024

Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson's diseaseMihajlović K, Ceddia G, Malod-Dognin N, Novak G, Kyriakis D, Skupin A, Pržulj NScientific Reports

Glioblastoma-instructed microglia transit to heterogeneous phenotypic states with phagocytic and dendritic cell-like features in patient tumors and patient-derived orthotopic xenograftsYabo YA, Moreno-Sanchez PM, Pires-Afonso Y, Kaoma T, Kyriakis D, et al., Golebiewska AGenome Medicine

2023

Early-to-mid stage idiopathic Parkinson's disease shows enhanced cytotoxicity and differentiation in CD8 T-cells in femalesCapelle CM, Ciré S, Hedin F, Hansen M, Pavelka L, Grzyb K, Kyriakis D, et al., Hefeng FQNature Communications

Rac1 and Rac3 GTPases and TPC2 are required for axonal outgrowth and migration of cortical interneuronsKounoupa Z, Tivodar S, Theodorakis K, Kyriakis D, Denaxa M, Karagogeos DJournal of Cell Science

2021

Single-cell transcriptomics and in situ morphological analyses reveal microglia heterogeneity across the nigrostriatal pathwayUriarte O, Kyriakis D, Heurtaux T, Grzyb K, Pires-Afonso Y, et al., Michelucci AFrontiers in Immunology

2019

Scanning of genetic variants and genetic mapping of phenotypic traits in gilthead seabream through ddRAD sequencingKyriakis D, Kanterakis A, Manousaki T, Tsakogiannis A, Tsagris M, et al., Tsigenopoulos CSFrontiers in Genetics

2018

Muscle and liver transcriptome characterization and genetic marker discovery in the farmed meagre, Argyrosomus regiusTsigenopoulos CS, Manousaki T, Tsakogiannis A, Lagnel J, Kyriakis D, Duncan N, Estevez AMarine Genomics

2017

In vivo effects of lipopolysaccharide on peroxisome proliferator activated receptor expression in the gilthead seabream (Sparus aurata)Antonopoulou E, Kaitetzidou E, Castellana B, Panteli N, Kyriakis D, Vraskou Y, Planas JVBiology

The full, current list is on Google Scholar.

Code

  • scMyeloids_ICH

    Single-cell RNA-seq of myeloid cells from 30 patients with intracerebral hemorrhage: outcome-linked activation states, cell–cell signalling, regulatory networks and drug repurposing. Reproduces all main and supplementary figures.

    R and Python. Archived on Zenodo

  • miBrain-snRNAseq-APOE4-aSynuclein

    Single-nucleus RNA-seq pipeline for APOE4 miBrain models: Cell Ranger, QC and annotation, concordance with a reference atlas, pseudo-bulk differential expression and enrichment.

    Python and R. Archived on Zenodo

  • IPSCs_PINK1

    Snakemake workflow for single-cell time series of PINK1-mutant iPSC differentiation into dopaminergic neurons, with network analysis of Parkinson's disease genes.

    R and Snakemake. Archived on Zenodo

  • CoPImmunoPD

    Single-cell analysis of peripheral CD8 T cells in early-to-mid stage Parkinson's disease.

    R and Jupyter. Archived on Zenodo

  • microglia-heterogeneity

    Regional heterogeneity of mouse microglia across the nigrostriatal pathway, from QC to figures.

    R. Archived on Zenodo

Off the clock

Eddie, a boxer dog, with his paws on a laptop
EddieHead of quality control. Reviews every pipeline before it ships.
AstrophotographyClear Greek skies, long exposures and a lot of stacking. Image processing is just data analysis at night.
CyclingLong climbs in the mountains of Crete. The best place to think through a stubborn analysis.

Contact

Dimitrios Kyriakis

Have a dataset or a project in mind? Send a short description and I'll reply with how I'd approach it.