• Establish and drive product strategy for data science and analytics, aligning with existing products and company goals• Lead and conduct data analyses, build machine learning models, and develop decision support tools for customers• Collaborate with cross-functional team of product managers, engineers, designers, end users, and other stakeholders• Communicate capabilities and benefits of data science initiatives for internal and external (e.g., marketing) purposes• Research, stay up to date, and constantly evaluate opportunities in data science, machine learning, and artificial intelligence

Sustainable Engineering Design & Systems Analysis• Develop and evaluate new methods for sustainable product development, addressing challenges with accessibility, practicality, completeness, flexibility, and accuracy• Model interactions among consumer product design decisions, consumer behavior, competing firms (game theory), public policy, and sustainability outcomes• Build methods for systems integration, connecting engineering and non-engineering models together with optimization tools, life cycle assessment tools, and user interfaces• Program and manage software development in Python, including decision dashboards, market simulations, and statistical analysesSelect Corporate & Government Projects• Con Edison: Develop machine learning models and optimization programs to support maintenance operations, improving worker scheduling quality by 28%• Dept. of Defense: Formulate ontological framework and digital thread connecting multiple engineering analysis models with decision support • National Science Foundation: Generate and test new approaches to multi-agent sustainable electricity system modeling• National Science Foundation: Advance sustainable design capabilities by connecting design propagation models with life cycle assessment and various stakeholder decision modelsProject Management & Communication• Manage projects end-to-end from fundraising through implementation, including writing proposals (won 13 competitive awards exceeding $2 million); recruiting, hiring, and training personnel (70+ total team members); providing thought leadership; managing budgets; and overseeing project execution• Write journal and conference papers (40+ peer-reviewed publications) and present at international conferences (50+ presentations)• Teach courses on Engineering Design, Optimization, Decision & Risk Analysis, and Systems Engineering (500+ university students)• Create and lead outreach programs about STEM and Sustainability (1,000+ pre-college students)

As an American Association for the Advancement of Science (AAAS) fellow, I worked in the office of Senator Edward J. Markey on policy issues involving transportation and consumer safety and privacy, nuclear non-proliferation, environmental sustainability initiatives, and science education and funding. This involved working with constituents and experts; developing policy positions; writing legislation, briefings, and press releases; and staffing the Senator in hearings and meetings.

Conducted research on decision-making of different stakeholders in new product markets (designers, consumers, policy-makers) using design optimization techniques to explore different design objectives and how they relate to ecological, economical, and social sustainability.

Conducted research on automobile design optimization for safety, with case studies in military and civilian vehicle applications

Conducted research toward M.S.E. and Ph.D. on automobile design optimization for occupant safety, with case studies in military and civilian vehicle applications

Created and evaluated neural network-based surrogate models of multi-body simulations of occupant response to ground vehicle underbody blast events (land mines, IEDs, etc.); developed a universal graphical user interface for rapid assessment of seat design using surrogate models

Selected components and designed part implementation for improved reliability of machinery; designed laboratory test assemblies for evaluating performance of pump and decoking equipment.

Evaluated compressor simulation programs and implemented new procedure to improve modeling accuracy; collected data on pump failures to determine improved reliability monitoring processes.

Managed bottle line (supervising operators, troubleshooting backups, maintaining production); developed benchmarking method to improve efficiency of changeover processes by 50%.