Co-founder and Chief Technology Officer @Couro

• I am a Data Scientist and Data/ML/AI/DevOps Engineer that works with companies to fully leverage their data to gain important business insights, support decision making, and optimize their go-to-market strategy.
• I bring what I've learned from my background in highly regulated industries including biotechnology and healthcare to ensure I deliver work that follows industry best practices in operational efficiency, security, compliance, while driving growth.

You can find me at LinkedIn.

I received my PhD from the University of Michigan @sriram-lab, where I developed new machine learning and Systems Biology approaches to identify cancer drug candidates that hit key metabolic pathways. I published 8 peer-reviewed articles with associated software and led research that has earned over $100K in National Institute of Health (NIH), Department of Energy (DOE), and private grant funding.

I've worked in organizations that allowed me to hold many roles in technology as a data scientist and engineer, ML engineer, NLP/AI researcher, and DevOps engineer. Later in my career, I began taking on additional administrative responsibilities include consulting, fundraising, strategy planning and implementation, and managing engineering teams. I've supported clients such as Oak Ridge National Laboratory, the Centers for Medicare and Medicaid, private healthcare organizations, and several startups to drive various initiatives that impact millions of peoples lives.

Currently, I am a co-founder and CTO of Couro. Our mission is to improve the lives of runners using AI, machine learning, and data. We work with professional athletes, physical therapists, coaches, biomechanists, sports scientists, and other experts in the sports industry to develop personalized running insights, based on running history, sports and clinical expert insights, and video analytics.

Some of my past projects 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 💊
• 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 🏃‍♀️

I'm always interested in chatting about technology, startups, starting collaborations, helping other founders and small businesses, and just getting to know cool people and what they're working on.

If you're in the San Francisco Bay Area and want to grab a coffee or just say hi, you can reach me at my email address or LinkedIn.