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AWS SageMakerData Annotation TechMercorSnorkel AINo subject matter listed
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VideoI am a Ph.D. candidate in Chemistry with extensive experience in data-driven research, computational modeling, and large-scale data annotation for scientific applications. My background includes mapping over 10,000 molecular conformers using machine learning and unsupervised clustering, integrating Python and RDKit workflows for efficient data processing, and generating and analyzing high-quality datasets for drug discovery and biodefense projects. I have hands-on expertise with advanced computational tools such as Schrödinger Suite, ORCA, Gaussian, and high-performance computing environments, which I leverage to automate data labeling, conformational sampling, and molecular docking tasks. My work often involves curating and managing complex chemical and spectrometric datasets, ensuring accuracy and reproducibility for AI-driven analysis in medicinal chemistry, polymer research, and viral inactivation studies. I am passionate about building robust training data pipelines and mentoring others in scripting, visualization, and workflow optimization.
Provide graduate-level organic chemistry prompts which stump state of the art models and provide an explanation of model failure as well as a step-by-step solution.
Perform research on model responses on graduate level research questions in physics and chemistry.
Stumping a model on graduate-level organic chemistry problems and providing a step-by-step logical solution.
Doctor of Philosophy, Chemistry
Bachelor of Science, Chemistry
Computational Chemistry Research Scientist
Medicinal Chemistry Research Scientist
