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AI RESEARCH / SUSTAINABILITY & APPLIED SYSTEMS

Making more
of limited resources.

My research spans sustainable AI infrastructure, point-of-care computing, and autonomous food cultivation. These projects explore how technology can support people in settings where computing, energy, and physical resources are constrained.

Different settings.
Shared constraints.

The work connects three questions: how to give functional hardware a longer useful life, how to bring computation closer to healthcare, and how to support food cultivation during long-duration space missions.

01 / COMPUTING

Repurposing discarded GPUs for AI development.

02 / HEALTHCARE

Exploring point-of-care AI at the edge.

03 / CULTIVATION

Autonomous duckweed systems for nutrition support.

01 / SUSTAINABLE AI

Give functional hardware
a second life.

“Zombie GPUs” aim to tackle the growing issue of hardware filling up landfills. These GPUs are still functional but “outdated” for modern AI development. The goal is to intercept them from being trashed and use them for less computationally intense tasks.

Breathing Life Back into Zombie GPUs research poster
POSTER / PACIFIC SYMPOSIUM ON BIOCOMPUTING

From disposal
to reuse.

The proposed approach brings together hardware stress testing, refurbishment, and open-source software for older GPUs. It frames collaboration between manufacturers, refurbishment centers, researchers, and communities as part of a more circular hardware lifecycle.

Research slide comparing the current GPU hardware lifecycle with a proposed refurbishment and reuse framework
PROPOSED FRAMEWORK / GPU REFURBISHMENT AND REUSE

02 / EDGE HEALTHCARE

Bring computation closer
to the point of care.

This research explores edge computing for point-of-care healthcare, including settings where reliable connectivity and computing resources are limited. The work considers local processing and smaller models as part of a sustainable approach to AI-supported healthcare.

Presentation slide outlining edge computing for point-of-care healthcare
RESEARCH DIRECTION / LOCAL COMPUTING FOR POINT-OF-CARE HEALTHCARE
RESEARCH OUTPUT

AI in Point-of-Care: A Sustainable Healthcare Revolution at the Edge, included in Biocomputing 2025: Proceedings of the Pacific Symposium.

03 / AUTONOMOUS CULTIVATION

Grow nutrition.
Monitor the system.

The cultivation research explores duckweed as a protein source for long-duration spaceflight and sustainable food systems on Earth. The project materials describe an autonomous harvesting chamber with a Raspberry Pi interface for growth tracking and sensor monitoring.

Presentation slide describing an autonomous duckweed harvesting chamber and growth monitoring interface
SYSTEM CONCEPT / DUCKWEED CULTIVATION AND MONITORING
ACCEPTED / ICES 2026

Autonomous Duckweed Cultivation for Nutrition Support in Long-Duration Spaceflight was accepted for the 55th International Conference on Environmental Systems.

04 / PUBLICATIONS & PRESENTATIONS

Sharing the research.

  1. 2026 / ACCEPTED

    Autonomous Duckweed Cultivation for Nutrition Support in Long-Duration Spaceflight.

    55th International Conference on Environmental Systems (ICES 2026).

  2. 2025 / ABSTRACT

    Intelligent Protein Farming Systems for Space Missions and Earth Sustainability.

    In NSS Space Settlement Summit 2025 Abstracts of Invited and Lightning Talks.

  3. POSTER PRESENTATION

    Breathing Life Back into Zombie GPUs: A Sustainable Framework for AI Development.

    Pacific Symposium on Biocomputing.

  4. 2025 / PROCEEDINGS

    AI in Point-of-Care: A Sustainable Healthcare Revolution at the Edge.

    In Biocomputing 2025: Proceedings of the Pacific Symposium.