Research Statement

Research Vision

My research is driven by the fundamental question: How can we extend computing beyond traditional boundaries to enable new applications and reach new domains? I focus on developing novel chips, architectures, and systems that address constraints not met by conventional computing platforms.

Traditional computing architectures excel in controlled environments with abundant resources, but many emerging applications require computing in constrained, unconventional, or previously impossible contexts. My work bridges this gap by creating specialized computing solutions that operate effectively under these new constraints.

Research Methodology

My approach combines system-level thinking with cross-layer optimization. I believe that the most impactful solutions emerge from understanding the entire stack—from materials and device physics through architecture and applications—and optimizing across these traditionally separate domains.

This methodology has proven effective in projects ranging from printed microprocessors (where material constraints drive architectural decisions) to space computing systems (where total cost of ownership considerations influence every design choice). I emphasize building working systems that demonstrate real-world viability rather than purely theoretical contributions.

Impact and Applications

My research addresses critical challenges in emerging domains:

• Ubiquitous Computing: Enabling computation in flexible, wearable, and disposable form factors through printed electronics
• Sensory Computing: Creating specialized architectures for olfactory and aural processing that unlock new human-computer interaction modalities
• Space Technology: Developing energy-efficient computing systems that make space-based data processing economically viable
• Open Innovation: Building tools and languages that democratize hardware design and accelerate open-source development

Future Directions

Looking forward, I see tremendous opportunities at the intersection of unconventional computing and emerging applications. Key areas include:

• Scaling printed electronics to support complex machine learning workloads
• Developing architectures for distributed sensing networks in harsh environments
• Creating energy-autonomous computing systems for long-term deployment
• Advancing open-source hardware ecosystems through improved design tools

My ultimate goal is to enable a future where computing is so pervasive, efficient, and accessible that it becomes invisible—seamlessly integrated into the fabric of our environment and daily experiences.

Collaborative Philosophy

I believe the most challenging problems require interdisciplinary collaboration. My research inherently spans multiple domains—from materials science to computer architecture to systems engineering—and I actively seek partnerships with experts across these fields. I am committed to open science principles and making research outputs accessible to the broader community.