Hire the Best MultiDimensional Expressions (MDX) Professionals

I help research teams and technical founders build and validate reliable, testable scientific and quantitative systems — research prototypes, backtesting frameworks, production execution systems, simulation engines, and performance-critical pipelines. I also conduct independent technical review of quantitative models and research frameworks. Whether you are architecting a new system from the ground up, battling computational bottlenecks, auditing an unpredictable model, or scaling a fragile prototype into production, I can work with you or your team to engineer a robust, high-performance solution. Background: PhD Physics (NYU, 2018). Quantitative Research at JPMorgan Chase — derivatives pricing on a 1M+ LOC C++ library. Max Planck Institute postdoc — general-relativistic hydrodynamics on 1,000+ core HPC clusters. 13 peer-reviewed publications, 1,300+ citations, h-index 12. WHAT I DELIVER ▸ Quant & Options Engineering Backtesting frameworks (event-driven or vectorized), walk-forward, leakage checks Options analytics: Greeks, IV surfaces, Black–Scholes and numerical methods Research → production pipelines (clean architecture, tests, logging, monitoring) Execution integrations (e.g., IBKR) and robust order / risk handling Market data ingestion, cleaning, corporate actions, quality control ML and statistical time-series models with proper cross-validation (no leakage) ▸ Scientific Computing & Research Tooling For physics, chemistry, biology, engineering, and any domain where the core problem is mathematical or computational. Custom numerical solvers (finite volume / finite difference, spectral, particle methods) with stability and convergence analysis Optimization engines (Bayesian, gradient-based, evolutionary) for experimental design, formulation, and parameter search Simulation frameworks from prototype to production grade Scientific data pipelines: ingestion, transformation, quality control, reproducible workflows Verification and validation: benchmarks, unit / regression tests, convergence studies Analysis tools, dashboards, and reporting infrastructure for research workflows Air-gapped and reproducible deployments where IP sensitivity or regulatory context requires it ▸ Quantitative & Mathematical Review (NDA-protected) Independent technical review of quantitative models, frameworks, and research Verification of internal consistency, identifiability, hidden assumptions, and mathematical correctness Assessment of whether the formal structure supports the conclusions drawn from it Implementation review against specification: numerical stability, edge cases, code-to-spec fidelity ▸ HPC & Performance Engineering Distributed computing (MPI / OpenMP / CUDA), GPU optimization, memory and I/O tuning Inference and training infrastructure at scale Profiling, refactors, and speedups for codebases that need to run reliably under production load WHY CLIENTS WORK WITH ME - Trustworthy work — research prototypes turned into tested, reproducible production code; models reviewed against their own claims - De-risking — failure modes surfaced early (leakage, overfitting, edge cases, scaling bottlenecks) - Maintainability — clean architecture, docs, handover-ready delivery your team can extend - Communication — clear milestones, concise updates, realistic timelines, no surprises - Math ↔ engineering bridge — strong intuition for both theory and implementation IDEAL PROJECTS - Quant strategy development, backtesting, and research infrastructure - Options analytics and derivatives tooling - Mathematical review of quantitative manuscripts, white papers, or research frameworks - Independent validation of production models against specification - Market data pipelines and reproducibility upgrades - Performance optimization of slow Python / C++ codebases - Distributed training, GPU optimization, and inference serving for ML workloads - Custom scientific or industrial simulation and numerical software - Internal R&D tooling for research labs and technical teams If this sounds like a fit, message me with a brief on your current setup and success criteria — I'll let you know how I can help.

I specialize in workflow automation and pipeline development primarily for computer graphics, video, and image processing - drawing on years of experience as a technical director at an animation studio. I'm always happy to discuss your task or project and explore solutions together. / __what_i_deliver__ - Automation of production processes, especially where the use of computer graphics is required - Tool & plugin development for 3D applications, building USD-based pipelines - Render farm setup, cloud rendering infrastructure and cost optimization - Synthetic 3d data generation, parametric modeling, Gaussian splatting - Image/video processing: custom ComfyUI workflows, gen ai image/video pipelines, ai motion capture - SaaS Full-stack dev, DevOps/FinOps, serverless GPU deployment - Blockchain apps, smart contracts dev - Reverse engineering, binary analysis, decompilation - R&D, mathematical tasks, algorithm implementation - Embedded/microcontroller programming: ESP32, STM32H7, Raspberry Pi and more / __tech_stack__ - Python, С/C++, TypeScript, Dart, GLSL - Backend: FastAPI, Node.js/Express, NestJS, MongoDB, PostgreSQL, Redis - Frontend: Qt (PySide), Svelte, React, Next.js, Flutter, Three.js, WebGL - ML/Generative: ComfyUI, PyTorch - Computer vision: OpenCV, MediaPipe, SAM, Yolo, ResNet - AI agents: LangGraph, Google ADK, Anthropic API - web3: Solidity, Hardhat, Foundry, OpenZeppelin, Dynamic.xyz, Alchemy, IPFS - Infra cloud: AWS , GCP, Hetzner, Railway, Vercel - Infra GPU cloud: Modal, Runpod, vast.ai, Koyeb - Infra Devops: IaC, Docker, K8s, Terraform, MinIO, NAS, S3 - RE: Frida, Ghidra, IL2CPP / __dcc_&_pipeline_tools__ - Blender (bpy, GeoNodes), Autodesk Maya (mel/python/OpenMaya), SideFX Houdini (hython, hscript, HDK), 3ds Max (maxscript), Unreal Engine, Foundry Nuke (incl. BlinkScript), Katana, DaVinci Resolve (incl. DCTL creation and Lua scripting), NVidia Omniverse kit, NVidia Lyra and more - Character creation automation: MetaHuman, DAZ Genesis, Faceform Wrap - Render engines: Pixar RenderMan, Maxon Redshift, Karma, Arnold, Cycles - Rendering pipeline: AWS Deadline Cloud, Pixar Tractor, Fox renderfarm - Adobe CEP and UXP extensions, ExtendScript and C++ plugins for After Effects, Premiere Pro, Photoshop, Illustrator - Project management: ShotGrid (now Autodesk Flow), FTrack, Perforce - Opensource industry: ASWF projects (ACES, OpenColorIO, OpenImageIO, OpenEXR, OSL, rez etc), OpenGL, WebGL, OpenCL, Vulkan, FFmpeg, OpenUSD ... and more. But if you've read this far, and your task is non-standard or lies at the intersection of different, not necessarily technical, fields, then I really love tackling unusual problems when it difficult to find a specialist. Write to me, I'll be glad if I can be of help.

Do you need someone who can handle your entire data journey? From collecting data, to analysing it, to automating the processes around it, and finally presenting it in a stunning, interactive dashboard? You've found that person. I'm Catherine, a data analyst and statistician with deep expertise across the full data pipeline. I don't just run numbers. I help you collect, clean, analyse, automate, and visualise your data in a way that drives real decisions. What I bring to your project: 📊 Statistical analysis & research: Hypothesis testing, regression, SEM, survival analysis, psychometrics/scale validation, and econometric modelling using SPSS, R, Stata, Python, Jamovi, and JMP. I've contributed to peer-reviewed journal publications through my statistical work on surgical databases (NSQIP). 🔍 Qualitative research: Thematic and content analysis using NVivo, MAXQDA, and Atlas.ti for interviews, focus groups, and open-ended survey data. ⚙️ Automation & workflow design: I build end-to-end automated pipelines using Make and Google Apps Script, including integrations with Stripe, Google Forms, Google Sheets, landing pages, and more. Recent clients have seen their manual data workflows fully automated. 📈 Dashboards & data visualisation: Interactive executive dashboards in Power BI and Looker Studio, tailored for marketing teams, operations, healthcare, and finance. I turn raw data into clear, compelling visual stories. 📋 Survey design & data collection: End-to-end survey projects using Google Forms, Typeform, and Qualtrics, including automated data pipelines from form submission to clean, analysis-ready datasets. I've worked across yachting, healthcare, finance, and academia, and I also offer tutoring in SPSS, R, and Stata for students and professionals. Let's talk about how I can support your project.

I'm a Top Rated freelancer and Computer Science graduate who works at the intersection of three fields most people treat separately: Statistics & Machine Learning, Bioinformatics, and AI. That combination is exactly what messy, high-dimensional data needs — the statistical rigor to trust the result, the ML to find the pattern, and the biological context to know what it means. With 3+ years of experience and 24 successful projects (4.98/5 avg. rating), here's what I bring: 📊 Statistics & Machine Learning Rigorous statistical inference and predictive modeling — hypothesis testing, causal inference (Mendelian Randomization), feature engineering, and ensemble models (XGBoost, LightGBM, Random Forest). I don't just build models that score well; I build models you can defend. Example: a coronary artery disease prediction model reaching 0.956 AUC, with feature ablation to prove what actually drives it. 🧬 Bioinformatics & Omics End-to-end analysis of complex biological data — scRNA-seq, RNA-seq, WGS/WES — using reproducible pipelines (Nextflow, Snakemake). From raw reads to normalized matrices to differential expression and biomarker discovery. Example: cut analysis time by 40% on large genomic projects through custom automated pipelines. 🤖 AI & Deep Learning Deep learning frameworks for real diagnostic problems — computer vision, medical image analysis, NLP, and LLM-based tools. ✨ What ties it together Most freelancers do one of these. I connect them — applying AI and ML to biological and clinical data with statistical discipline, then communicating the findings in publication-ready visuals that both scientists and stakeholders can act on. 🛠️ Tech Stack Python (Pandas, Scikit-learn, TensorFlow, PyTorch) · R (Tidyverse, Bioconductor) · Bash · SQL · Linux · Git · Docker · Cloud 💡 Ready to turn your raw data into discoveries you can trust? Let's talk.

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 turn repetitive video production into automated pipelines that run without anyone touching them — subtitling, encoding, and template-driven video generation for media companies, broadcasters, and content creators. ⭐ Top Rated · 100% Job Success · 54 projects delivered · 5.0 · 13+ years in broadcast engineering Using FFmpeg, Python, Node.js, React, Remotion, After Effects scripting, Whisper AI, and n8n, I've built high-throughput FFmpeg pipelines (CPU & GPU — NVENC/CUDA), API-driven After Effects rendering systems, and AI-powered speech-to-text captioning workflows. If it's a repetitive video task, I turn it into a script that scales. ▸ WHAT I AUTOMATE FOR YOU • After Effects — JSX/ExtendScript, aerender pipelines, template-driven video generation • AE → Remotion pipelines — convert After Effects templates into server-side React/Remotion renders (props for text, image, video, alpha overlays; multi-language output) • FFmpeg — encoding, compression, watermarking, format conversion (NVENC/CUDA) • Video generation APIs — automated rendering pipelines & queue systems (Remotion, Node.js, FastAPI) • Subtitles & captions — generate, convert, burn-in (SRT, WebVTT) powered by Whisper AI • n8n workflows — connecting your tools into one hands-off automated flow • Live production — OBS/vMix consulting, ATEM switching, Blackmagic DeckLink integration • Playout & ingest — SDI and file-based/IP workflows • Media asset management — LTO archiving & long-term storage ▸ WHY CLIENTS KEEP HIRING ME • 13+ years in live broadcast — I've shipped under real deadlines, not just in theory • Led a team of 13 engineers — I document properly and deliver production-ready systems • Performance-obsessed: GPU acceleration, parallel processing, efficient encoding • I speak both "editor" and "engineer" — bridging creative workflows and backend automation 🌍 Based in Serbia, working with clients worldwide. 🚀 Tell me the repetitive task eating your time — I'll show you how to automate it. Send me a message and let's scope it out.