Welcome to my personal website

I am a Senior Battery Engineer at AST SpaceMobile, where I work on the batteries that power the company’s space-based cellular broadband satellites.

I recently completed my Ph.D. in Mechanical Engineering at the University of Connecticut, where I worked in the Reliability Engineering and Informatics Laboratory. My doctoral research focused on data-driven diagnostics and early prognostics for lithium-ion batteries, combining physics-based modeling with machine learning to estimate capacity trajectories, identify degradation mechanisms, and quantify uncertainty in predictions from early-cycle data.

Research Interests

• Battery degradation diagnostics
• Scientific machine learning
• Probabilistic modeling and uncertainty quantification
• Data-driven reliability engineering
• Optimization and parameter estimation

Throughout my graduate work, I designed and conducted battery aging experiments and contributed open datasets and code for the research community, and I continue to review for battery- and reliability-focused journals.

I previously interned at MathWorks, where I developed battery feature-extraction workflows, anomaly detection prototypes, and machine learning pipelines for battery analytics.

Engineering Leadership Development

Alongside my technical work, I’m passionate about engineering leadership development. As a John Lof Leadership Academy Scholar and Social Media Director, and Social Media Director for the Mechanical Engineering Graduate Student Association at UConn, I helped build community and leadership programming for fellow engineering graduate students. This interest carries into my involvement in engineering education, including recent contributions on student-led leadership development and human-centered leadership in an AI-driven world, presented at the ASEE Annual Conference & Exposition.