Minoo Ashtiani
Available for consulting
✉ashtiani.minoo@gmail.com inLinkedIn Profile GGoogle Scholar iDORCID Profile
⊙Netherlands · Remote worldwide
Open to new projects

Minoo Ashtiani

Senior Data Scientist · AI Consultant · Computational Biologist

10+ years turning complex data into decisions that matter — across life sciences, finance, business intelligence and AI-driven analytics. Published in Nature and Blood. Whether you need a dashboard, a statistical report, a machine learning model, or a full bioinformatics pipeline — I deliver it personally, with rigour.

10+Years experience
600+Citations
90k+R downloads
10Publications
Published in: NatureBlood HaematologicaBioinformatics BMC Systems Biology
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About Me

The scientist behind the data

I'm Minoo Ashtiani — a Senior Data Scientist and computational researcher with 10+ years of experience delivering rigorous, production-ready data science across life sciences, healthcare, business intelligence, and beyond. My work bridges the gap between complex data and decisions that actually move organisations forward.

My academic career spans the Pasteur Institute (landmark network analysis research, 250+ citations), the Institute of Computational Biomedicine at Heidelberg University (co-developing DoRothEA, now globally adopted by EMBL), the Princess Máxima Center for Pediatric Oncology in the Netherlands (5 publications: Nature, Blood, Haematologica), and LMU Klinikum Munich as a Care-for-Rare Foundation Scholar.

I founded StatExcel to bring this depth directly to any organisation that needs it — from biotech startups to financial firms to independent researchers. Whether you need a dashboard, statistical report, machine learning model, digital twin, or full bioinformatics pipeline — every engagement is handled personally, with no outsourcing and publication-grade rigour.

Bioinformatics

scRNA-seq · WGS/WES · ATAC-seq · CUT&RUN · ChIP-seq · Proteomics · GATK4 · Microarray · Flow Cytometry

Network & Systems Biology

PPI Network Analysis · Centrality Metrics · Biological Network Reconstruction · Graph-based Biomarker Discovery · CINNA · IMMAN

AI & Graph Analytics

LLMs · RAG Pipelines · Knowledge Graphs · Neo4j · Graph ML · Statistical Modelling · Vector Databases

Digital Twin

Patient & Biological Twins · Multi-Omics Integration · In Silico Trials · Drug Response Simulation · Personalised Medicine

Clinical & Regulatory

CDISC · SDTM · ADaM · Clinical Phase I · SAP Writing · Protocol Development · SAS

Engineering

Python · R · R Shiny · SQL · Snakemake · HPC · Cloud · CRAN & Bioconductor · ETL Pipelines

Career

Professional timeline

2024 – Present
StatExcel — Independent Consultancy
Founder & Principal Consultant · Netherlands / Remote
AI/ML, dashboards, bioinformatics, digital twins, and statistical consulting for clients across life sciences, business, and academia — Europe and globally.
2023 – 2024
LMU Klinikum, Ludwig-Maximilians-Universität München
Guest Bioinformatician · Care-for-Rare Foundation Scholar
Knowledge graph framework (Neo4j) for pediatric rare disease multi-omics. Snakemake HPC pipelines for WGS/WES and scRNA-seq at scale.
2021 – 2024
Princess Máxima Center for Pediatric Oncology
Data Research Analyst · Utrecht, Netherlands
5 publications: Nature, Blood ×3, Haematologica. Multi-omics analysis of pediatric leukemia fusion genes. International conference presentations.
2019 – 2020
Universitätsklinikum Heidelberg
Research Assistant · Computational Biomedicine
Co-developed DoRothEA (Bioconductor/EMBL) — globally adopted TF regulon resource. Graph ML with Prof. Saez-Rodriguez's lab.
2018 – 2019
DataCamp Inc.
Course Instructor · USA (Remote)
Two courses: Centrality Network Analysis in R and Introduction to Bioconductor — reaching thousands of learners worldwide.
2014 – 2018
Pasteur Institute
Research Assistant · Computational Biology & Network Science
3 first-author papers. Lead paper: 250+ citations. Created CINNA (77k+ downloads) and IMMAN (13.5k+ downloads).
Services

What I deliver — any industry

Every project handled directly by me. No outsourcing. Whether you are in pharma, finance, retail, academia, or any other sector — if you have a data challenge, I can solve it.

I work with
🏥 Pharma & Biotech 🧬 Academic Research 💼 Finance & Business 🌿 Nutraceuticals 🏭 Industry & Manufacturing 🏛️ Healthcare 📊 Market Research 🚀 Startups 🎓 Independent Researchers
📐 Data & Reporting
📊

Data Dashboards & Visualisation

Interactive dashboards and reports turning your raw data into clear, actionable insights. Built in R Shiny, Python, Power BI, or any platform you use. Ideal for business KPIs, clinical data, or research outputs.

R ShinyPythonPower BIggplot2PlotlyInteractive Reports
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📈

Statistical Analysis & Reports

Rigorous statistical analysis for any domain — clinical trials, business data, survey analysis, quality control, or research publications. Full written reports with interpretation, ready to share with stakeholders or submit for publication.

Hypothesis TestingRegressionANOVASurvival AnalysisRSASSPSS
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🤖 Artificial Intelligence
🤖

Machine Learning & AI Models

Custom ML models for classification, prediction, clustering, and anomaly detection. From churn prediction and demand forecasting to biomarker discovery — production-ready models with full documentation.

ClassificationRegressionClusteringDeep LearningPythonscikit-learn
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💬

LLM & RAG Solutions

Design and deployment of RAG pipelines, knowledge graphs, and LLM-powered tools — for any domain. Document Q&A systems, literature mining, automated report generation, and AI-powered decision support.

LLMsRAG PipelinesKnowledge GraphsNeo4jVector DBsOpenAI API
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🧬 Life Sciences
🫀

Digital Twin Modelling

Construction of patient and biological digital twins integrating multi-omics, clinical, and real-world data. Simulation-driven personalised medicine, drug response prediction, and in silico trial design.

Digital TwinPatient SimulationMulti-OmicsIn Silico TrialsPersonalised Medicine
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🧬

Multi-Omics & Bioinformatics

End-to-end scRNA-seq, WGS/WES, ATAC-seq, ChIP-seq, CUT&RUN, and proteomics analysis. From pipeline design and QC to biological interpretation and publication-ready figures.

scRNA-seqWGS/WESATAC-seqGATK4SnakemakeHPC
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🕸️ Network & Engineering
🕸️

Network Analysis & Systems Biology

Protein-protein interaction network analysis, biological network reconstruction, centrality analysis, and graph-based biomarker discovery. Backed by a landmark 250+ cited paper and two globally adopted R packages — CINNA and IMMAN — with 90k+ combined downloads.

PPI NetworksGraph AnalysisCentrality MetricsNetwork MedicineCINNAIMMANSystems Biology
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🔍

Data Cleaning & Pipeline Automation

Transform messy, inconsistent data into clean, analysis-ready datasets. Automate repetitive data workflows, build ETL pipelines, and create reproducible analysis environments — saving you hours every week.

ETL PipelinesData WranglingPythonRSQLAutomationSnakemake
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🏥 Clinical & Software
📋

Clinical Data Science & Regulatory

CDISC-compliant pipelines (SDTM, ADaM), Statistical Analysis Plans, Phase I support, and regulatory-grade deliverables for pharma and biotech sponsors.

CDISCSDTMADaMSAP WritingSASPhase I
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📦

R Package & Software Development

Custom R packages for CRAN or Bioconductor — concept through submission, documentation, unit testing, and publication support. 90k+ combined downloads proven across three globally adopted packages. Also develops custom Python modules and packages for PyPI and internal deployment.

R/CRANBioconductorR ShinyPythonPyPI ModulesPackage Dev
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Research

Selected publications

10 peer-reviewed publications · 250+ citations

00
SPAFESTWDILK, a plant-derived dodecapeptide from Zingiber officinale, as a predicted inhibitor of the MDM2-p53 interaction: computational discovery and multi-method evaluation
bioRxiv2026Romiti M, Ashtiani M et al. · StatExcel
StatExcel
01
Acute myeloid leukemias with UBTF tandem duplications are sensitive to menin inhibitors
Blood2024Barajas J et al.
02
Repurposing CD19-directed immunotherapies for pediatric t(8;21) AML
Haematologica2024Barneh F et al.
03
Nanoparticle-mediated targeting of RUNX1/ETO in t(8;21)-positive AML
Nature2023Issa H et al.
Nature
04
RUNX1::RUNX1T1 impairs differentiation potential of primary AML cells
Blood2023Derevianko P et al.
05
Epigenetic regulator genes direct lineage switching in MLL/AF4 leukaemia
Blood2022Tirtakusuma R et al.
06
CINNA: An R/CRAN package to decipher Central Informative Nodes in Network Analysis
Bioinformatics2019 · 75 citationsAshtiani M et al.
First Author
07
IMMAN: Interolog protein network reconstruction by Mapping and Mining Analysis
BMC Bioinformatics2019Ashtiani M et al.
First Author
08
A systematic survey of centrality measures for protein–protein interaction networks
BMC Systems Biology2018Ashtiani M et al.
First Author250+ Citations
09
Valproic acid inhibits protective effects of stromal cells against chemotherapy in breast cancer
J. Cell. Biochemistry2018Barneh F et al.
View all on Google Scholar →
Open-Source Software

Tools trusted by researchers worldwide

#4,262 / all R packages
CINNA
CRAN · R Package
77,871+
total downloads

Centrality analysis in molecular interaction networks. Benchmarks 49+ centrality metrics across PPI networks — the reference tool in network medicine.

IMMAN
Bioconductor · R Package
13,500+
downloads since 2018 · consistent growth

Interolog-based protein network reconstruction by homology. Enables cross-species network inference through mapping and mining analysis.

DoRothEA
Bioconductor / EMBL · Co-developed
Global adoption
maintained by EMBL

Curated TF regulon resource co-developed at Heidelberg. Now maintained by EMBL and adopted by computational labs worldwide.

Contact

Let's build something together

Whatever your data challenge — big or small, any industry — I'd love to hear from you. I typically respond within 24 hours.

✉
Emailashtiani.minoo@gmail.com
 in
LinkedInlinkedin.com/in/minooashtiani
 iD
ORCID0000-0002-2853-363X
⊙
LocationNetherlands · Available remotely worldwide

📧 ashtiani.minoo@gmail.com  ·  VAT ID: NL005153989B57

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Direct response from Minoo within 24h · VAT ID: NL005153989B57