The world is too delicious to stay in one lane!

The Professional Thread

I translate deep technical reality into decisions — across domains, across scales, and across the boundaries where hardware, software, and science meet. I've done this at the component-system integration level (Apple, iPad hardware), the systems level (a PhD in Engineering & Public Policy, focused on regional and national-scale energy and operations research), and now the strategic level, at Polar Night Energy, where I connect experimental performance to commercialization priorities and long-term technology roadmaps — working across disciplines and leadership levels to align teams around what a technology can actually do and what’s worth building.

Whether leading team initiatives or setting technical direction as an individual contributor, my work is the same: take the messy input signals, real-world tradeoffs, architecture-level constraints, and a dash of uncertainty that live deep in the technical weeds, and turn them into clear narratives and decisions that executives, engineers, and investors can act on.

That same translation extends to capital and to company-building. Through fellowships with SOSV-HAX and the Material Change Institute, I've sourced deal flow and developed investment theses for energy and resource-management DeepTech ventures — bringing an operator's eye to the diligence and judgment that separates a promising technology from an investable one. Over the next few years, I'm deepening that work: taking on senior technical leadership, and turning research into companies — whether by backing them as an investor or building them as a founder.

  • I've built at every scale — from iPad hardware components at Apple, to national-scale energy systems in my PhD, to strategic technical direction at Polar Night Energy.

  • I turn experimental performance and messy technical tradeoffs into models and decisions that executives and roadmaps can act on.

  • Through SOSV-HAX and the Material Change Institute, I've sourced deal flow and built investment theses for DeepTech ventures — the first steps toward backing or building companies of my own.

About

My highest aspiration growing up was to work in conflict zones as a translator. The idea of decoding critical information under pressure thrilled me — I imagined myself in the middle of it, making sense of chaos when it mattered most. Looking back, that essence never really left. It's probably why people assume I studied international relations.

I laugh now realizing how much of my life’s been, in fact, exactly that: leaning into uncomfortable, high-stakes situations to find the gems that can move things forward.

I've picked up a few languages along the way, and I've had the chance to sit in rooms and occupy spaces where the kind of translation the world actually needs — between disciplines, between people, between what's technically true and what's practically useful — was in short supply.

Ask me to describe myself in three words, and I'll say: steady, ambitious, intuitive.

  • B.S. Mechanical Engineering

    — Stanford University

  • M.S. Public Policy and Management: Data Analytics

    — Carnegie Mellon University: Heinz College

  • PhD Engineering and Public Policy

    — Carnegie Mellon University

    Thesis: "Statistical & Optimization Approaches to Evaluating Energy Consumption, Supply, and Production Systems in a Decarbonized Future"