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I am a 𝗣𝗵𝗗 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗶𝗮𝗻 and 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 specializing in 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴, 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗥𝗲𝘃𝗶𝗲𝘄, 𝗡𝘂𝗺𝗲𝗿𝗶𝗰𝗮𝗹 𝗠𝗲𝘁𝗵𝗼𝗱𝘀, and 𝗧𝗵𝗲𝗼𝗿𝗲𝘁𝗶𝗰𝗮𝗹 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁. 𝗜 𝗵𝗲𝗹𝗽 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀, 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝗶𝗲𝘀, 𝗮𝗻𝗱 𝗥&𝗗 𝘁𝗲𝗮𝗺𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗶𝗱𝗲𝗮𝘀 𝗶𝗻𝘁𝗼 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝗿𝗶𝗴𝗼𝗿𝗼𝘂𝘀 𝗺𝗼𝗱𝗲𝗹𝘀, 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲𝗱 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗺𝗲𝘁𝗵𝗼𝗱𝘀, 𝗮𝗻𝗱 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵. Since 2012, I have completed 𝗠𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟭𝟵𝟬 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸, helping researchers, engineers, independent scholars, universities, startups, and R&D teams solve complex mathematical and computational problems involving 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝗹 𝗘𝗾𝘂𝗮𝘁𝗶𝗼𝗻𝘀, 𝗧𝗵𝗲𝗿𝗺𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗡𝘂𝗺𝗲𝗿𝗶𝗰𝗮𝗹 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀, 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴, 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻, and 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗥𝗲𝗮𝗱𝘆 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗦𝘂𝗽𝗽𝗼𝗿𝘁. Recent engagements have included 𝗺𝘂𝗹𝘁𝗶-𝗽𝗵𝗮𝘀𝗲 𝘁𝗵𝗲𝗼𝗿𝗲𝘁𝗶𝗰𝗮𝗹 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗿𝗲𝘃𝗶𝗲𝘄𝘀, 𝗵𝗶𝗴𝗵-𝗶𝗺𝗽𝗮𝗰𝘁 𝗷𝗼𝘂𝗿𝗻𝗮𝗹 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗽𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻, referee-level 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗿𝗲𝘃𝗶𝗲𝘄, 𝘁𝗵𝗲𝗿𝗺𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝘀𝘆𝘀𝘁𝗲𝗺 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴, and 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗻𝗼𝘃𝗲𝗹 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀. I assist researchers in 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴, 𝗦𝘁𝗿𝗲𝘀𝘀-𝗧𝗲𝘀𝘁𝗶𝗻𝗴, and 𝗥𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗜𝗱𝗲𝗮𝘀—including 𝗔𝗜-𝗮𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗮𝗻𝗱 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀—by identifying logical gaps, assessing internal consistency, developing formal definitions, and translating conceptual frameworks into rigorous mathematical architectures. My work spans 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴, 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻, 𝗝𝗼𝘂𝗿𝗻𝗮𝗹 𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗥𝗲𝘃𝗶𝗲𝘄, 𝗧𝗵𝗲𝗼𝗿𝗲𝗺 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝗣𝗿𝗼𝗼𝗳 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻, 𝗧𝗵𝗲𝗿𝗺𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗵𝘆𝘀𝗶𝗰𝘀, 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, and 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 for advanced scientific and engineering research. Recent collaborations include long-term consulting engagements in mathematical modeling, thermodynamic analysis, referee-level manuscript review, and the formalization of novel theoretical frameworks for publication-quality research. 𝗦𝗘𝗟𝗘𝗖𝗧𝗘𝗗 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗 𝗠𝗔𝗡𝗨𝗦𝗖𝗥𝗜𝗣𝗧 𝗥𝗘𝗙𝗜𝗡𝗘𝗠𝗘𝗡𝗧 & 𝗣𝗥𝗢𝗢𝗙 𝗩𝗔𝗟𝗜𝗗𝗔𝗧𝗜𝗢𝗡 (𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱) Conducted a 128-hour research consulting engagement supporting an advanced theoretical physics manuscript through proof verification, derivation auditing, referee-risk assessment, logical consistency analysis, and journal-ready LaTeX preparation. 𝗧𝗛𝗘𝗥𝗠𝗢𝗗𝗬𝗡𝗔𝗠𝗜𝗖 𝗦𝗬𝗦𝗧𝗘𝗠 𝗠𝗢𝗗𝗘𝗟𝗜𝗡𝗚 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Developing nonlinear thermal-energy balance models with analytical investigation and numerical validation. 𝗥𝗘𝗦𝗘𝗔𝗥𝗖𝗛 𝗠𝗔𝗡𝗨𝗦𝗖𝗥𝗜𝗣𝗧 𝗥𝗘𝗩𝗜𝗘𝗪 & 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗔𝗨𝗗𝗜𝗧 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Reviewing advanced mathematics and physics manuscripts for derivation verification, notation consistency, and technical rigor. 𝗠𝗔𝗧𝗛𝗘𝗠𝗔𝗧𝗜𝗖𝗔𝗟 𝗙𝗥𝗔𝗠𝗘𝗪𝗢𝗥𝗞 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗠𝗘𝗡𝗧 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Evaluating and formalizing novel theoretical concepts, including AI-assisted research ideas, into mathematically defensible frameworks. 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 ✓ Mathematical Modeling ✓ Thermodynamic & Physical System Modeling ✓ Differential Equations (ODEs, PDEs, Dynamical Systems) ✓ Scientific Computing & Numerical Methods ✓ Research Manuscript Review & Validation ✓ Mathematical Proof Verification ✓ Scientific Programming (Python, MATLAB, Maple, Mathematica, Fortran) ✓ CFD, Heat Transfer & Transport Phenomena ✓ LaTeX, Overleaf & Publication Support ✓ Journal, Thesis & Technical Report Preparation 𝗦𝗢𝗙𝗧𝗪𝗔𝗥𝗘 • Python • MATLAB • Maple • Mathematica • Fortran • COMSOL Multiphysics • ANSYS Fluent • LaTeX • Overleaf 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Every project begins with a focused milestone—such as a model review, derivation audit, framework evaluation, manuscript assessment, or computational validation—to establish a clear technical roadmap before expanding into larger engagements. If you need support with mathematical modeling, scientific computing, theoretical framework development, thermodynamic analysis, research manuscript review, or publication preparation, feel free to contact me. 𝗗𝗿. 𝗗𝘂𝗿𝗴𝗲𝘀𝗵 𝗞𝘂𝘀𝗵𝗮𝘄𝗮𝗵𝗮 𝗣𝗵𝗗 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀

I help genomics companies, academic research labs, and PhD researchers turn complex sequencing and clinical datasets into publication-ready results, grant-winning insights, and actionable biological discoveries. With hands-on expertise in bulk RNA-Seq, single-cell RNA-Seq, multi-omics integration, and clinical biostatistics, I deliver more than analysis; I provide scientific interpretation, reproducible pipelines, and clear visualisations that accelerate decision-making. Whether you're: Identifying novel therapeutic targets Dissecting cellular heterogeneity Integrating transcriptomics with epigenomics Validating biomarkers for clinical studies Preparing figures for high-impact journals I ensure your data becomes a defensible scientific asset — not just processed output. Let's transform your raw data into meaningful biological insight. 🧬 Core Services 1️⃣ Bulk RNA-Seq & Transcriptome Analysis Tools: HISAT2, STAR, DESeq2, edgeR Deliverables: Differential expression analysis Pathway & enrichment analysis Publication-ready plots Reproducible pipelines Best For: Mechanistic studies, biomarker discovery, therapeutic target identification. 2️⃣ Single-Cell RNA-Seq (scRNA-Seq) Tools: Cell Ranger, Seurat, Monocle Deliverables: Clustering & annotation Trajectory analysis Rare cell population detection Integration of multiple datasets Best For: Tumour microenvironment, immune profiling, tissue heterogeneity. 3️⃣ Multi-Omics Data Integration Transcriptomics + Epigenomics RNA-Seq + Clinical Metadata Cross-platform data harmonisation Outcome: Systems-level biological insight and stronger mechanistic conclusions. 4️⃣ Clinical Biostatistics & Modelling Logistic regression Survival analysis Bayesian models ML classifiers (Random Forest, XGBoost, LASSO) Clinical dataset interpretation Outcome: Robust statistical validation for publications, diagnostics, and trials. 🧪 Technical Expertise Programming: Python, R, Bash, SQL Bioinformatics: GATK, STAR, DESeq2, Seurat, QIIME, MACS2 Statistics & ML: Regression, Bayesian modelling, AI/ML pipelines Visualization: ggplot2, Matplotlib Infrastructure: HPC environments, reproducible workflows, Git 🎯 Stronger Call to Action If you need reliable bioinformatic support for your lab, startup, or thesis, let's discuss your dataset and research goals. Prioritise clarity, reproducibility, and scientific rigour.

Theoretical physicist experienced in scientific computation, writing, and I love to teach math and physics, and sometimes scientific coding. Skyrocketing your grades will be my responsibility if you give me your time and trust. While learning with me, you will experience a new level of patience and a state of flow. I also work on open-source projects. So whether it's coding work, paper review, or science book review, those are the things that I love to do.

Bioengineer and former Founding R&D Engineer at BioCompute Inc., with ~4 years of experience across startups and international research labs in computational biology, bioinformatics, and genomic data analysis. Named inventor on a US patent filing. I build computational pipelines and analytical systems for biological data: NGS, WGS, long-read sequencing, and high-dimensional experimental outputs. My work combines bioinformatics, statistical modeling, signal processing, and machine learning to extract interpretable patterns from complex biological systems, often within larger pipelines that integrate APIs, containerized environments, and multiple software components. My experience spans genome assembly, variant analysis, methylation detection, structural bioinformatics, raw signal analysis, and physiological signal analysis. Because I work across both experimental genomics and computational analysis, I can quickly diagnose issues at the interface between sequencing workflows and downstream data interpretation. I also take on biostatistics consulting work including experimental design, hypothesis testing, and SBIR grant statistical review. At BioCompute, I built a sequencing based proof-of-concept system integrating native DNA workflows with a custom bioinformatics decoding pipeline developed from scratch, validated on real sequencing runs and contributing to a US patent filing where I am a named inventor. I also delivered genome assembly, methylation analysis, and structured analytical reporting to external customers. What I work with: - Next-generation sequencing (short and long-read, WGS) - Oxford Nanopore (MinION Mk1B/Mk1D, PromethION; wet lab + analysis) - Genome assembly and annotation (bacterial and small genomes) - Variant analysis and mutation interpretation - RNA-seq analysis (Bulk and scRNA) - Structural bioinformatics (AlphaFold, DSSP, molecular docking) - Modified-base and methylation analysis (pysam, modkit, SAMtools) - Time series and signal processing (FFT, ML-based approaches) - Physiological and biosignal data analysis - Biological image analysis (cell segmentation, microscopy, CV quantification) - Statistical modeling and biostatistics (regression, hypothesis testing, experimental data interpretation) - Lab automation (Opentrons-style JSON protocol systems) - Python bioinformatics pipelines (Linux, Bash) - Containerized and reproducible workflows (Docker, Snakemake) - API-driven data pipelines and backend integrations - Workflow engine development and debugging (Rust-based pipeline migration, concurrency bug fixes) Tools and technologies: - Python scientific stack (NumPy, SciPy, Pandas, scikit-learn) - Deep learning (PyTorch, TensorFlow) - Image/video analysis (OpenCV, scikit-image) - Docker, Snakemake - Linux, Bash, REST APIs, JSON-based services Wet lab and experimental consulting: Experimental design for sequencing-based studies. Troubleshooting PCR, cloning, library prep, and sequencing workflows. Guidance on protein expression and molecular cloning workflows. Connecting wet lab outputs with downstream computational analysis. Genomics research and analytical consulting: Technical and market research on genomics and sequencing technologies. Variant impact assessment and interpretation workflows. Literature analysis and publication mapping. Translating computational outputs into structured reports and slide decks for both technical and non-technical stakeholders. What you get: - Reproducible, well-documented bioinformatics workflows - Systems-level thinking across wet lab and computational layers - Clear outputs with strong attention to data integrity - Fast turnaround If you're working with sequencing data, complex biological signals, clinical or experimental datasets, or need grant-level analytical support, let's talk.

Hi! I’m a Computational Plasma Physicist (PhD) specializing in laser interaction with magnetized plasmas. My work spans academic research, advanced simulation, and applied problem-solving across physics, mathematics, financial modeling, as well as quantitative domains. ✅ 10 Q1-ranked Journal Publications | 🧪 PIC Simulations (EPOCH / OSIRIS) | 💻 MATLAB · Python · Scilab| Paraview| OpenFOAM| FreeCAD |cfdOF| COMSOL| ✍️ LaTeX Expert | LLM Data Training | 🎥 Blog-Post Writer| 🔥 What I Do 🎯 ✅ Physics & Mathematics Problem Solving (all levels) ✅ Plasma & Quantum Modeling | Relativity & Field Theory ✅ Custom Simulation Codes & Numerical Solvers ✅ Research Manuscripts: Drafting, Editing, Formatting ✅ PIC Simulation Setup, Runs & Analysis ✅ Extensive experience of working with supercomputers and Linux ✅ Financial / Engineering Computation & Modeling ✅ Professional Blog Post writing for websites 🛠 Tech Stack MATLAB | Python | Scilab | LaTeX | Maxima | JSXGraph | Git | EPOCH | OSIRIS 🎓 Domains Plasma Physics | Quantum Computation | General Relativity | Statistical Physics | Atomic/Nuclear Physics | Numerical Analysis | Financial Mathematics | 💡 Why Clients Work With Me ✅ Research-grade precision ✅ Clean, reproducible workflows ✅ Clear communication & milestone updates ✅ Tailored, scalable solutions 💻 Collaboration Philosophy I believe in providing the best work possible for my clients, whether it's doable or not; I do not hesitate to say it bluntly up front. Clear communication between the client and the freelancer determines the success rate of any project. 📬 Let’s Connect 🚀 Ready to bring your model, manuscript, or simulation to life? Let’s collaborate!

Top Skills 🥇 Over 4 years of extensive experience in freelance academic writing, completing 450+ assignments 🥇 Strong foundational knowledge of molecular biology and genomics 🥇 Skilled in statistical programming with Python and NGS data analysis 🥇 Experienced in using NCBI, Ensembl, UCSC, and Galaxy server 🥇 Excellent communication skills and expertise in developing scientific research papers My Services ##Blog Posts, Articles, Proofreading academic papers, Research Reports, ## Python scripting for bioinformatics analysis ## Data cleaning, sorting and pivot table creation with MS-Excel ## RNA-seq Data Analysis ## Gene Annotation ## Developing rna-seq pipeline workflow ## Visualization with Heatmaps, Volcano plots, and Differential gene expression plots, About Me Hi, I'm Rukaiya, an experienced freelance writer specializing in bioinformatics. With a background in molecular biology and genomics, I have successfully completed 450+ assignments across diverse domains, including life science, project management, and law. My expertise also includes statistical programming with Python, NGS data analysis, and big data management. In my freelance writing career, I have collaborated with international clients from countries such as the UK, Malaysia, Canada, Australia, UAE, China, and many others, showcasing my ability to cater to a global clientele. I specialize in producing high-quality, error-free, and plagiarism-free content, including research papers, essays, case studies, literature reviews, and reports. Thank you for considering my services. I look forward to working with you to achieve your academic and research goals. Rukaiya Khatoon