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Howdy! 👋

My name is Scott, and I'm a Data Scientist, Consultant, and AI Researcher developing Artificial Intelligence, Machine Learning, and Statistical solutions in several industries, such as biotechnology, medical devices, and healthcare.

I receieved my Ph.D. from the University of Michigan, where I developed new Systems Biology models to identify cancer drug candidates that target metabolism (Publications). My work has been acknowledged by institutions such as the National Cancer Institute, the Department of Education, and the Arnold and Mabel Beckman Foundation, where I have earned several fellowships and scholarships to conduct independent research.

Nowadays, I'm a Data Scientist at RaLytics, where I'm heads down in AI R&D for a wide variety of company use-cases. Additionally, I have worked with several U.S. government, research, and private institutions as a consultant to offer insights, technical expertise, and develop new solutions on projects that catch my interests.

Some of my current projects include (but are not limited to):

  • Training and developing Vision-Language Models for chart reasoning and understanding 📈
  • Medical NLP development for entity identification, extraction, and summarization 📄
  • Deploying statistical learning models for inferring patterns of care from claims data 🏥
  • Pose estimation applications for improving athletic performance 🏃‍♀️

Some past projects I have worked on include:

  • Leveraging LLMs for developing a personalized marketing platform 📧
  • Performing data analysis and creating data pipelines for healthcare-based datasets (claims, financial, EMRs, etc) 🗂️
  • Establishing DataOps and MLOps best practices for model deployment and data processing ☁️
  • Vision models to identify anatomical structures during surgical procedures 😷
  • Developing bioinformatics pipelines (gene set enrichment analysis, protein expression network graphs, etc) for drug discovery 💊

☕ I'm always interested in chatting, colabs, and consulting gigs. If you're in the Bay Area and want to grab a coffee or just say hi, you can reach me at my email address or LinkedIn. For my writings about all things nerdy, you can check out my blog, which is currently undergoing some re-vamping.

Scott Campit's Projects

bme499 icon bme499

BME499 course materials. I developed the neural networks / deep learning section of this course.

bpt icon bpt

Walkthrough of accessing publicly available data from CMS, focusing on the bid pricing tool

dfa icon dfa

Fitting time-course metabolomics onto genome-scale metabolic models for inferring metabolic activity.

emt-cobra icon emt-cobra

Modeling the metabolic changes during the epithelial-to-mesenchymal transition.

intro-to-ml icon intro-to-ml

Short introduction to machine learning and data science. Project includes using scikit-learn for k-means clustering on the Iris dataset.

metoncofit icon metoncofit

Common biochemical and topological attributes of metabolic genes recurrently dysregulated in tumors.

openai-playground icon openai-playground

Generate a basic chatbot and language translator app using the OpenAI API and streamlit. You can find the original article here: https://www.scottcampit.com/how-to-use-chatgpt-for-your-business/

opnet icon opnet

U-Net object segmentation model trained on surgery snapshots from YouTube

pytest-example icon pytest-example

pytest blog snippets. Main article can be found here: https://www.scottcampit.com/pytest-for-test-driven-development/

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