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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.

I am a PhD Applied Mathematician with expertise in Mathematical Modeling, Scientific Computing, Research Manuscript Review, and Numerical Methods. Since 2012, I have completed 190+ projects involving differential equations, thermodynamics, fluid dynamics, computational modeling, mathematical validation, scientific programming, and publication-ready research support. Since 2012, I have successfully completed 190+ projects on Upwork involving differential equations, computational modeling, thermodynamic systems, scientific programming, numerical simulations, mathematical validation, and publication-ready research support. I work with researchers, graduate students, engineers, and R&D teams who require mathematically rigorous solutions, reproducible computational workflows, and publication-quality deliverables. My projects range from mathematical modeling and thermodynamic simulations to high-level research manuscript review for journal submissions, dissertations, and technical reports." 𝗦𝗘𝗟𝗘𝗖𝗧𝗘𝗗 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗 𝗠𝗔𝗡𝗨𝗦𝗖𝗥𝗜𝗣𝗧 𝗥𝗘𝗙𝗜𝗡𝗘𝗠𝗘𝗡𝗧 & 𝗣𝗥𝗢𝗢𝗙 𝗩𝗔𝗟𝗜𝗗𝗔𝗧𝗜𝗢𝗡 (𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱) Conducted a 128-hour technical review of an advanced theoretical physics and mathematics manuscript. Verified proofs, derivations, logical consistency, and a journal-ready LaTeX presentation. 𝗧𝗛𝗘𝗥𝗠𝗢𝗗𝗬𝗡𝗔𝗠𝗜𝗖 𝗦𝗬𝗦𝗧𝗘𝗠 𝗠𝗢𝗗𝗘𝗟𝗜𝗡𝗚 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Developing nonlinear thermal-energy balance models involving coupled pressure-temperature interactions, analytical investigation, and numerical validation. 𝗥𝗘𝗦𝗘𝗔𝗥𝗖𝗛 𝗠𝗔𝗡𝗨𝗦𝗖𝗥𝗜𝗣𝗧 𝗥𝗘𝗩𝗜𝗘𝗪 & 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗔𝗨𝗗𝗜𝗧 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Reviewing advanced manuscripts in applied mathematics and theoretical physics, focusing on derivation verification, notation consistency, and technical rigor. 𝗠𝗔𝗧𝗛𝗘𝗠𝗔𝗧𝗜𝗖𝗔𝗟 𝗠𝗢𝗗𝗘𝗟 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗠𝗘𝗡𝗧 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Developing and validating mathematical models involving differential equations, stability analysis, thermodynamics, and physical systems. 𝗖𝗢𝗠𝗣𝗨𝗧𝗔𝗧𝗜𝗢𝗡𝗔𝗟 𝗠𝗢𝗗𝗘𝗟𝗜𝗡𝗚 & 𝗦𝗜𝗠𝗨𝗟𝗔𝗧𝗜𝗢𝗡 (𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀) Developed numerical models and simulations for heat transfer, fluid mechanics, transport phenomena, and nonlinear dynamical systems using MATLAB, Python, COMSOL, and ANSYS Fluent. 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 ✓ Mathematical Modeling ✓ Thermodynamics & Physical System Modeling ✓ Differential Equations (ODEs, PDEs, Dynamical Systems) ✓ Numerical Methods & Scientific Computing ✓ CFD, Heat Transfer & Transport Phenomena ✓ Research Manuscript Review & Validation ✓ Mathematical Proof Verification ✓ LaTeX & Overleaf Development ✓ Python, MATLAB, Maple, Mathematica & Fortran Programming 𝗠𝗔𝗧𝗛𝗘𝗠𝗔𝗧𝗜𝗖𝗔𝗟 𝗠𝗢𝗗𝗘𝗟𝗜𝗡𝗚 I develop and analyze mathematical models for scientific and engineering applications, including: • Heat and mass transfer • Fluid dynamics and transport phenomena • Thermodynamic systems • Continuum mechanics • Dynamical systems and stability analysis • Mathematical physics • Applied optimization problems • Nonlinear differential equations 𝗥𝗘𝗦𝗘𝗔𝗥𝗖𝗛 𝗠𝗔𝗡𝗨𝗦𝗖𝗥𝗜𝗣𝗧 𝗥𝗘𝗩𝗜𝗘𝗪 • Verify mathematical derivations and proofs • Check assumptions, notation, and logical consistency • Identify weaknesses likely to be flagged by reviewers • Improve methodology presentation and technical clarity • Support major revisions and response-to-reviewer preparation • Review theses, dissertations, journal manuscripts, and technical reports 𝗦𝗖𝗜𝗘𝗡𝗧𝗜𝗙𝗜𝗖 𝗖𝗢𝗠𝗣𝗨𝗧𝗜𝗡𝗚 Software and programming expertise: • Python • MATLAB • Maple • Mathematica • Fortran • COMSOL Multiphysics • ANSYS Fluent Applications include: • Numerical simulation • Model validation • Parameter studies • Data analysis • Reproducible computational research 𝗟𝗔𝗧𝗘𝗫 & 𝗣𝗨𝗕𝗟𝗜𝗖𝗔𝗧𝗜𝗢𝗡 𝗦𝗨𝗣𝗣𝗢𝗥𝗧 • Journal-ready LaTeX manuscripts • Overleaf collaboration • Equation formatting • Figure and table management • Reference management • Publisher template compliance • Technical report preparation 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 I typically begin with a focused milestone such as a model review, derivation audit, manuscript assessment, or computational validation task. This allows us to establish a clear technical roadmap before expanding into larger projects. If you need support with mathematical modeling, scientific computing, thermodynamic analysis, research manuscript review, or publication preparation, feel free to contact me. Thank you, Dr. Durgesh Kushawaha PhD Applied Mathematics

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 from Oxford Nanopore platforms, 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 grant-level analytical support. 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 - 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 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.

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.

I provide consultancy service in all areas of Physics, including globally relevant areas like Quantum Computing and Information Sciences. I will be happy to be associated with any R&D organization for assisting with long-term consultancy in Physics, particularly with Quantum Computing and Information Sciences. I will also be happy to solve your Physics problem, answer your queries in Physics (if required, with audio-visual explanations), write computer programs for scientific computations, write technical materials (like journal papers, abstracts, thesis, grants) and make presentations for your seminar. I am also experienced in copy-editing and writing any scientific document, including books, journal papers, theses, essays, cover letters, recommendation letters, and grant proposals. Being an Associate Professor in a reputed institute like Indian Institute of Technology Ropar (Times Higher Education Rank#62) in Physics, I am passionate about teaching and research in the interdisciplinary areas of Physics. I have a PhD in Physics. I have four years of research experience in USA and Canada, before I joined this institute in 2009. I am a specialist in Quantum Physics, Quantum Computing, and Optics and all the allied areas of Physics. I can be relied for genuine solutions to any problems in Physics, that one can expect from an expert.

SUMMARY Have developed an optical breath gas sensor for non-invasive disease diagnosis. In-depth knowledge in applied physics, advanced mathematics, and core engineering concepts. With several technical publications in high-impact journals. I have authored two book chapters and have presented my research work in several prestigious conferences. I have 6 years of teaching and 6 years of research experience.