New Haven, Connecticut, United States
I am pursuing an engaging career at the intersection of exploration and computation.
- Develop software tooling to assist in managing Yale's High Performance Computing clusters. - Assist Yale's scientific researchers with designing, implementing, and troubleshooting workloads for Yale's High Performance Computing clusters.
I work alongside clinicians and research biologists to develop software that enables large-scale analysis of biological data, helps answer research questions, and streamlines the process and pipelines of oncological research.
• Identify, design, and guide machine learning projects from concept to deployment. • Collect, clean, process, and make available large-volume datasets from the domains of industrial machine health, manufacturing, natural language, visual inspection, and related fields. • Establish and curate best practices and a community of practice in machine learning. • Organize and lead training, mentorship, and solution sharing within the team and broader enterprise. • Drive strategic vision for machine learning and for our team.
• Build, validate and deploy machine learning models. • Develop processes to query, transform and utilize "big data" sources via distributed computing. • Design front-end interfaces and dashboards for interaction with predictive models. • Automate classification of high-volume data records. • Predict part time to failure based on operational parameters. • Convey learned best practices and methodology to team and organization. • Communicate methodology and results to team, stakeholders and customers.
• Leverage data from Sikorsky S-76 and S-92 helicopter fleet to provide valuable intelligence for Sikorsky and customers. • Analyze high-volume data with SQL and Python to fill ad-hoc information requests. • Build and support interactive dashboards with Tableau. • Perform statistical analyses using tools such as R and Python. • Apply machine learning tools for advanced predictive modeling. • Develop tailored simulation solutions for predictive demand planning.
• Member of design engineering group for military inlet & exhaust development programs. • Perform and oversee design and analysis for core components in experimental afterburner design program. • Conduct thermal and stress analysis to prove viability of designs. • Support hardware vendors to ensure on-time and on-budget procurement and delivery of components. • Present designs and justification in technical reviews to Chief Engineer's Office.