Hire the Best Scientific Researchers
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I am a pharmaceutical scientist with experience in the fields of oncology, molecular biology, and chemistry. My expertise centers around the molecular basis of cancer and novel avenues for drug discovery and development. I have extensive experience in scientific writing with multiple first author publications in well accredited journals. I am experienced in academia and pharmaceutical industry. In addition, I have had direct exposure to big pharma and start up biotech companies. Whether you are trying to gain insight on a topic, write scientific papers/proposals, or attempting to delineate a path for your next research project, I would be happy to assist in any and all ways that I can!

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 highly knowledgeable in drafting (especially family and civil law), e-filing and discovery processing. I have also participated in scientific research and grant writing. Additionally, I will assist with trademarks, draft job offers and cease and desist letters.

As a veterinarian, I am in the business of education. I love to educate clients about illnesses, preventive medicine, physiology and emerging research. I hope to reach many more people through writing and research. My skills lie in my communication and efficiency. I have been praised by many veterinary clients on my ability to make complicated processes and procedures understandable to people with little or no science background. I am a hard worker that will return finished projects timely.

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.

SKILLS • 15 years of experience as a research scientist • Analysis & interpretation of data with statistics (from basic to advanced) • Creation, application & scoring of surveys for business use (e.g., DEI, psychological safety) • Data analytics related to diversity, equity, & inclusion; psychological safety; leadership style • Creation, application & scoring of psychological questionnaires • Ability to present findings in manuscripts & presentations • Research of literature • Literature review writing TECHNICAL SKILLS • Word, Power Point, Excel, SurveyMonkey, Sogolytics, SPSS NOTABLE WORK ON UPWORK • Statistical analysis and interpretation of data, along with the presentation of findings in PowerPoint for pharmaceutical companies • Research and presentation in PowerPoint of diversity research and how it effects businesses • Research and document writing about diversity research and how it effects businesses for AT&T