Hire the Best Biomedical Visualization Professionals

Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.

I am a medical researcher and MD candidate with experience in clinical research, medical writing, healthcare administration, and AI applications in medicine. Currently, I work as a Remote Medical Assistant supporting physicians conducting U.S. veteran disability evaluations, where I review medical records, imaging studies, diagnostic findings, and clinical documentation while coordinating patient scheduling, intake, follow-ups, and case management. In addition to clinical operations, I actively contribute to medical research projects focused on artificial intelligence, diagnostic imaging, clinical decision-making, and oncology. My research experience includes publications in peer-reviewed journals and collaborative projects involving machine learning, healthcare data analysis, and evidence-based medicine. I help healthcare organizations, physicians, researchers, startups, and academic institutions with: ✓ Medical writing and literature reviews ✓ Scientific research and manuscript preparation ✓ Clinical research support ✓ Medical data analysis ✓ Medical record review and summarization ✓ Healthcare virtual assistance ✓ AI and healthcare research projects ✓ Presentation development and scientific posters ✓ Evidence synthesis and systematic reviews ✓ Medical content creation My background combines medical training, clinical exposure, healthcare administration, and research methodology, allowing me to deliver work that is accurate, evidence-based, and professionally written. If you're looking for a reliable healthcare professional who understands both medicine and research, I'd be happy to discuss your project.

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'm a freelance Medical Illustrator with over 20 years of experience. My work has been published worldwide in journals, books, websites, and surgical guides. -Proficient in traditional art media -Proficient in Adobe Software -On-time delivery of illustrations -Competitive pricing

Bioinformatics Specialist with a track record of innovation. I am a Molecular Biologist and Data Analyst with over 10 years of experience. I bridge the gap between "Wet Lab" biology and "Dry Lab" computation. My background includes being a Co-inventor of a patented COVID-19 test kit (Thai Patent No. 2001003133), which demonstrates my ability to deliver scientifically rigorous results. What I can do for you: *** Nanopore Sequencing Analysis: End-to-end processing for MinION/PromethION data. I handle Basecalling, QC, Assembly (MetaFlye), and Polishing to deliver publication-ready results. *** Microbiome & Metagenomics: Expert in handling massive datasets (2,600+ samples) using QIIME2, Kraken2, and custom Python scripts. *** Pipeline Development: Building reproducible workflows using Nextflow, Python, and Bash to automate your analysis. *** Clinical Data Standards: I apply ISO 15189 and Data Privacy (DPO) principles, ensuring your data is handled with the highest security and quality standards. I don't just run code; I understand the biology behind the data. Let's discuss how I can support your project.

I’m a Data & Medical Annotation Specialist with proven experience in: Medical imaging (X-rays, CT, MRI) NLP & clinical text annotation High-volume AI training datasets. My top priority is to deliver precise, accurate annotations with strict quality controls. Follow your guidelines precisely (or help refine them if needed) Handle large datasets with fast turnaround, ensure data confidentiality and compliance standards. A pro in image and video annotation (bounding boxes, segmentation, keypoints), medical imaging annotation (X-rays, CT scans, MRIs), text annotation (NER, classification, sentiment analysis), data labeling and quality assurance, and healthcare data tagging and clinical data structuring.