プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dmitrii S.に依頼

Germany

Seasoned Data Scientist & Computational Biologist | multi OMICs | RPM & clinical research

プロフィール概要

I’m a computational biologist, ML engineer, and digital-health founder who turns life-science data into actionable insights and products. Whether you need end-to-end multi-omics analysis, a wearables-driven RPM app, or a bespoke biomarker discovery project, I can help. What I do best: Multi-omics, pipelines, ML — WES/WGS (BWA-MEM, GATK/deepVariant), RNA-seq & scRNA-seq (STAR/Salmon, DESeq2/edgeR, Seurat / Scanpy), EPIC methylation (minfi, ChAMP), LFQ/TMT proteomics (MaxQuant, protrider, limma), untargeted metabolomics & lipidomics, Olink NPX analytics; scikit-learn, XGBoost/LightGBM, CatBoost; deep-learning stacks in PyTorch & TensorFlow/Keras; autoencoders, Transformers, graph-neural networks; genomics-specific models (DeepRVAT, SKAT, PRSice, LDpred); ; model explainability via SHAP. Bioinformatics tooling & data engineering — Python, R, SQL; workflow orchestration with Nextflow / nf-core & Snakemake; PostgreSQL / MySQL, Metabase & Apache Superset BI; HL7 / FHIR REST integrations; container-first DevOps (Docker, Singularity) on AWS & GCP with Git CI/CD. • Remote-patient monitoring & digital biomarkers — device due diligence (FDA 510(k), CE, ISO), cross-platform Flutter apps, adaptive PROM engines; video pose estimation for gait/posture How I work • Full project ownership from study design and ethics paperwork to clean, reproducible code, visual reports, and handover documentation. • Transparent timelines, weekly checkpoints, and rapid iteration - clear communication beats surprises. Science-grade rigour: pipelines validated against gold standards, results ready for peer review or regulatory submission.

専門分野

• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Genetics
• ☆ Microarrays
• ☆ Omics
• ☆ Transcriptomics
• ☆ Lipidomics
• ☆ Proteomics
• ☆ Metabolomics
• ☆ Genomics
• ☆ Epigenetics
• ☆ Next Generation Sequencing (NGS)
• ☆ DNA Sequencing
• ☆ Gene Expression Analysis
• ☆ Genome Sequencing
• ☆ Exome Sequencing
• ☆ RNA Sequencing
• ☆ Information Technology
• ☆ Database Management
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Comparative Analysis
• ☆ Meta-Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Survey Design
• ☆ Study Design
• ☆ Statistical Review
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Trend Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Knowledge Management
• ☆ Population Genetics
• ☆ Risk Assessment & Actuarial Science
• ☆ Information & Knowledge Management
• ☆ Data Storage
• ☆ Python
• ☆ SQL
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Tableau
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ Medical Devices
• ☆ Medical Device Marketing
• ☆ Medical Device Development
• ☆ Medical Device Manufacturing
• ☆ Medical Device Validation
• ☆ Medical Device Design
• ☆ Wearable Technology
• ☆ Medical Device Prototyping
• ☆ Human Biology
• ☆ Preventive Medicine
• ☆ Precision Medicine
• ☆ Public Health
• ☆ Epidemiology
• ☆ Global Health
• ☆ Quality of Life Assessment
• ☆ Health Technology Assessment
• ☆ E-Health & Telemedicine
• ☆ Health Informatics
• ☆ Home Health Care
• ☆ Rural Health
• ☆ Medical Sciences
• ☆ Medical Equipment & Supplies
• ☆ Product Design
• ☆ Product Prototyping
• ☆ Product Validation
• ☆ Product Compliance
• ☆ Product Launch Support
• ☆ Software Development
• ☆ Mobile Application Development
• ☆ Web Application Development
• ☆ Cloud Application Development
• ☆ UI/UX Design
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ Feasibility Studies
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Gap Analysis
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ White Papers
• ☆ Case Studies
• ☆ Literature Review
• ☆ Systematic Literature Review
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Creative Writing
• ☆ Audio Transcription
• ☆ Grant Writing
• ☆ International Business
• ☆ Public-Private Partnership
• ☆ Data-Driven Decision Making
• ☆ Entrepreneurship
• ☆ Branding
• ☆ Lead Generation
• ☆ Business Intelligence
• ☆ Innovation Management
• ☆ Project Management

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Creative Writing

Research Market Research, Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Scientific and Technical Research

Consulting Go-to-Market Strategy Consulting, Digital Strategy Consulting, Healthcare Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics

Product Development Formulation, Product Evaluation, Product Validation

職務経験

Technische Universität München

- 現在

Helmholtz Zentrum München

- 現在

Chief Scientific Officer

Jellyfish Bio

3月 2025 - 現在

学歴

PhD Computational Medicine

Technische Universität München - Germany

1月 2019 - 9月 2025

認定資格

• Early Career Award

  European Society of Human Genetica

  6月 2022 - 現在

出版物

JOURNAL ARTICLE

Dmitrii Smirnov, Dominic Lenz, Lea D. Schlieben, Masaru Shimura, Alyssa Bianzano, Robert Kopajtich, Riccardo Berutti, Rüdiger Adam, Denise Aldrian, Ivo Baric, et al. (2024). Genetic landscape of pediatric acute liver failure of indeterminate origin . Hepatology.

Dmitrii Smirnov, Nikita Konstantinovskiy, Holger Prokisch (2023). Integrative omics approaches to advance rare disease diagnostics . Journal of Inherited Metabolic Disease.

Dmitrii Smirnov, Lea D. Schlieben, Fatemeh Peymani, Riccardo Berutti, Holger Prokisch(2022). Guidelines for clinical interpretation of variant pathogenicity using RNA phenotypes . Human Mutation. 43. (8). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1056--1070. Wiley