Managing healthcare data, I employ analytics and visualization for informed decisions. Specializing in biomedical data, I led product development at Pine Biotech, crafting user-friendly analytics tools, simplifying complex datasets for transformative discoveries. I also gained experience working with customers in data analytics software implementation and education by teaching non-technical users to utilize complex analytical tools for analysis of their own data. In this video, I am working with students to train them on big data processing tools designed for Omics data (genomics, transcriptomics, metagenomics).
Companies: Pine Biotech, OmicsLogic, Ascension Health
Supporting executive leadership in healthcare by managing data across various electronic health record systems, I utilize analytics and data visualization techniques to drive informed decision-making and improve patient outcomes. As an educator, I specialized in big biomedical data, delving into topics like next-gen sequencing and X-Omics Technologies. At Pine Biotech, I led product development, focusing on user-friendly data analytics tools. Collaborating across teams, we crafted intuitive interfaces, empowering users to interpret complex datasets effortlessly. Through real-world examples, I aimed to simplify big data challenges, fostering transformative discoveries in biomedicine.
During my tenure at Pine Biotech, I spearheaded the product development team in the creation of interactive visualization tools aimed at rendering complex data analysis and machine learning tools more accessible to non-technical users, with a particular emphasis on data visualization and interpretation. Leveraging my expertise in both technical and user-centric domains, I collaborated closely with cross-functional teams to conceptualize, design, and implement intuitive interfaces that facilitated seamless interaction with intricate datasets. By prioritizing user experience and incorporating user feedback iteratively, we refined our visualization tools to offer intuitive navigation and insightful representations of data patterns. Through these efforts, we empowered non-technical users to explore and derive meaningful insights from complex data, thereby bridging the gap between advanced analytics and user-friendly accessibility.
Entrepreneurship & Innovation: working with early stage companies to find product-market fit, identify investors and develop a business case for the company
Big Data and Analytics: Managing Infrastructure and the Analysis of complex data to identify patterns and communicate insights to decision makers
Digital Advertising & Marketing: Utilizing search, display and social media advertising to capture audiences and convert them to customers
Healthcare: Business Cases and Feasibility Assessments for Medical Innovation from Population Health to Precision Medicine.
Life Sciences: Working on Next Generation Sequencing Data to research complex diseases in virology, immunology, oncology and neuroscience
Software Development: Working with small to medium size software teams to develop software, applications, web portals and SaaS platforms