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I help researchers, biotech companies, and scientific organizations build AI-powered research workflows, analyze complex biological datasets, develop scientific software and transform experimental data into actionable insights. I am a PhD-trained Computational Biologist and Data Scientist with over 14 years of experience in biological research and scientific data analysis. I am also a cofounder of DataLens.Tools, where we design AI-powered knowledge systems, research automation tools, scientific data analysis platforms, retrieval-augmented applications and custom AI workflows for research and industry. I specialize in computational biology, bioinformatics, machine learning, scientific Python development and AI-powered research workflows. I help researchers, biotech teams and scientific organizations transform complex biological data into actionable insights through data analysis, computational modeling and custom software solutions. Alongside my research and computational work, I have experience teaching and mentoring students and researchers in biological data analysis, Python, statistics, machine learning and computational research methods. I particularly enjoy helping researchers understand not only how to use computational tools, but also why a particular analytical or machine-learning approach is appropriate for their scientific question. My expertise spans computational biology, bioinformatics, machine learning, scientific image analysis, cheminformatics, protein modeling and data visualization. I also have extensive experience working with fluorescence microscopy, calcium imaging, electrophysiology datasets and high-dimensional biological data. Key Areas of Expertise • Computational Biology & Bioinformatics • Machine Learning & AI for Biological Data • AI Systems & Knowledge Engineering - Agentic AI Workflows - Retrieval-Augmented Generation (RAG) - AI Memory & Knowledge Systems - Scientific AI Applications - Research Automation - AI Workflow Architecture • Scientific Python Development (Pandas, NumPy, Scikit-learn, PyTorch) • Data Analysis, Statistics & Visualization • Image Processing & Quantitative Microscopy • Cheminformatics & Protein Modeling • Computational Neuroscience & Electrophysiology • Research Automation & Scientific Software Development Selected Research & Technical Projects • Developed reproducible Python pipelines for fluorescence imaging and quantitative biological data analysis. • Designed machine-learning workflows for biological and physiological datasets. • Conducted bioinformatics analyses involving genomic and VCF-based datasets. • Developed AI-assisted approaches for fluorescence microscopy and scientific image analysis. • Applied statistical modeling to investigate calcium dynamics and muscle physiology in Drosophila flight systems. • Built scientific software for data visualization, analysis, and workflow automation. • Developed and taught computational workflows that help researchers understand and independently analyze biological datasets. • Co-founded DataLens.Tools, where we develop AI-powered tools and workflows for scientific research and data analysis. I have authored peer-reviewed scientific publications and presented research at international conferences. I enjoy collaborating on interdisciplinary projects at the intersection of biology, AI, data science and scientific computing. I am particularly interested in projects where researchers need more than a black-box analysis, whether that means developing a reproducible computational workflow, validating a machine-learning approach, building a scientific AI system or helping a research team understand and adopt computational methods. If you are working with complex biological data or exploring how AI, machine learning or scientific computing could support your research, I would be happy to connect.

I help biotech companies, pharma teams, and research institutions turn complex genomic and multi-omics data into clear, publication-ready insights — on time and with full reproducibility. What I specialize in: - Bulk RNA-seq & single-cell RNA-seq (scRNA-seq) analysis - Spatial transcriptomics (Visium) - DNA methylation, metabolomics & microbiome data - Differential gene expression & splicing analysis - Pathway & gene set enrichment analysis (GSEA) - Network analysis & pseudotime inference - Dimensionality reduction & unsupervised clustering - Multi-omics data integration (single-cell, spatial, immune repertoire, clinical metadata) Tools & Stack: R/Bioconductor and Python — with a strong focus on clean, well-documented, reproducible pipelines and publication-quality figures. How I work: I adapt to data quality issues, complex experimental designs, and tight timelines. Every deliverable includes clear documentation so your team can build on the results. I hold a 100% Job Success Score and Top Rated status on Upwork. Send me a message describing your dataset and your goal — I will tell you honestly whether and how I can help.

Diyaa Ashour, PhD – Expert in Bioinformatics & Biomarker Discovery. My Mission is Bridging Data & Discovery for Biomedical Research. I am a bioinformatics and translational research specialist with over 10 years of experience in single-cell, multi-omics and immune repertoires data analyses. Proficient in handling large-scale datasets, developing analytical workflows, and integrating multi-modal data for actionable insights. Experienced collaborator in cross-functional, international projects. About BioCompiler I founded BioCompiler, a Texas-based bioinformatics company dedicated to providing tailored data analysis solutions for biomedical researchers, institutes, and biotech companies. Every project is handled directly by me, with the support of an international research network, ensuring both high-quality expertise and cost-effective solutions. We specialize in: ✅✅ Bioinformatics Data Analysis ✔ RNA-Seq & NGS Data Analysis – Bulk, Single-Cell, and Spatial Transcriptomics ✔ Immune repertoire analysis ✔ Metabolomics & Proteomics Analysis ✔ Flow Cytometry Data Processing ✔ Biostatistics & Experimental Design Consultation ✔ Machine Learning for Biomedical Research ✔ Computer-Aided Drug Design & Molecular Modeling ✔ Custom Bioinformatics Pipelines & Automation ✔ Metagenomics ✔ Systems Biology ✔ Deep Learning for Biomedical Research ✔ Single-Cell and Bulk Epigenomics ✅✅ Biostatistical Data Analysis ✔Study Design Consulting ✔Descriptive Statistics ✔Hypothesis Testing ✔Regression Analysis ✔Survival Analysis ✔Diagnostic Test Evaluation ✔Clinical Trial Data Analysis ✔Image Analysis Why Work With Me? 🚀 Multidisciplinary Expertise – With a strong background in bioinformatics, immunology, and biostatistics, I bring holistic perspectives to biomedical data analysis. 🚀 End-to-End Solutions – From study design to interpretation, I deliver publication-ready insights that drive meaningful discoveries. 🚀 Affordable Excellence – High-quality analysis without unnecessary overhead costs. 🚀 Fast & Reliable Turnaround – Timely results with clear, actionable conclusions. 🚀 Custom Reports & Visualization – Comprehensive, easy-to-understand outputs tailored to your research needs. How I Solve Your Challenges 🔴 Complex Data Interpretation – I transform multi-omics datasets into clear biological stories. 🔴 Lack of Bioinformatics Expertise – I bridge the knowledge gap with precise, reproducible analyses. 🔴 Reproducibility & Data Quality Issues – I use gold-standard pipelines to ensure reliable, publishable results. 🔴 Time Constraints in Research – I take care of the heavy-lifting, so you can focus on discovery and innovation. 🚀 Let’s accelerate your research together! Contact me to discuss how I can optimize your bioinformatics workflows and deliver meaningful insights from your data.

I am a microbiologist with extensive experience in metabolic engineering, molecular biology, and bioinformatics. Having worked in both industry and academia, I possess a strong understanding of microbial biotechnology. Additionaly, I have worked on writing scientific projects and have mentored several undergraduate and postgraduate students.

Based in Berlin. Data analysis, R, python. Biologist and genomics data. I am open to new projects online or on site. Full/part time

I’m Fayaz Shaikh, a bioinformatics and data science professional with over 4 years of experience working with Next-Generation Sequencing (NGS) data, developing bioinformatics pipelines, and applying machine learning and deep learning to biological datasets. I am the founder of SMCS-Psi Data Analytics Pvt. Ltd., where I work on building data-driven solutions for genomics and computational biology. My focus is on combining AI with bioinformatics to help researchers and organizations interpret complex biological information. Areas of work include: NGS data processing and analysis (RNA-Seq, WGS, WES) Bioinformatics pipeline development and automation Machine learning and deep learning for genomics Data science and statistical analysis for biology Custom AI models for biological research I follow current developments in computational biology and AI to ensure practical, efficient approaches. I’m interested in collaborations that make biological data more understandable and useful.