About

I work at the intersection of physical exploration, intelligent systems, and consequential decision-making.

My background spans experimental geophysics, planetary science, energy and infrastructure systems, enterprise artificial intelligence, remote sensing, field operations, scientific program construction, and institution building.

These converge around one recurring problem: How should evidence govern action when the physical system remains incompletely understood and the next step may be difficult to reverse?

Exploration rarely advances from observation to certainty in a clean sequence.

Physical environments are often understood indirectly. Measurements constrain what may be present without uniquely determining the underlying state. Access is limited, sampling is incomplete, and several materially different interpretations may remain compatible with the same evidence.

At the same time, institutions cannot always wait for complete understanding. They must decide whether to investigate, deploy, drill, excavate, build, authorize, automate, or commit capital while uncertainty remains.

The difficult cases are those in which improving the evidence can itself change the system.

A well may reveal reservoir behavior while also creating site, capital, and operational exposure. A rover traverse may improve understanding while privileging an access route. Excavation may characterize material while changing the evidence baseline. Infrastructure placed to support exploration may begin anchoring the architecture that later decisions inherit.

My work focuses on that transition: the point at which evidence-generating action begins shaping future options before interpretation has converged.

My scientific training began at Boston University, where I earned a B.S. in Geophysics and Planetary Science, magna cum laude.

In the Environmental Fluid Mechanics Laboratory, I studied multiphase flow through porous media using acoustic measurement, imaging, and X-ray tomography. The work concerned physical processes that could not be observed directly and therefore had to be reconstructed through indirect measurements and experimental constraints. I also led on-site science operations during two 47-hour U.S. Department of Energy beam-time experiments at Argonne National Laboratory. The research ultimately resulted in a first-author paper in the International Journal of Multiphase Flow.

That experience established several themes that continue to shape my work:

• indirect observation does not eliminate non-uniqueness; 
• a technically strong signal may still support more than one physical interpretation; 
• measurement conditions influence what can be inferred; 
• experimental intervention can alter the system under investigation; 
• evidence must be interpreted relative to the decision it is being asked to support.

I later earned an M.Sc. in Sustainable Energy Futures at Imperial College London. That extended my scientific foundation into energy systems, infrastructure planning, economics, policy, innovation, and institutional decision-making.

The central question became broader. It was no longer only how to infer the physical system, but how organizations should act when:

• the physical evidence remains incomplete; 
• capital and infrastructure decisions must be sequenced; 
• technical models begin influencing institutional commitments; 
• pressure to act exceeds the authority of the available evidence. 

This intersection between physical uncertainty and institutional action became the basis for much of my later work.

From 2018 to 2024, I helped scale and led Inpleo, an enterprise AI and analytics company, serving as Chief of Strategy.

I helped grow the company from pre-revenue to multi-million-dollar revenue scale and worked across strategy, commercial development, product, analytics, explainable AI, deep reinforcement learning, affiliated ventures, and executive delivery.

The role required translating technical systems into products, contracts, workflows, organizational decisions, and commercial outcomes. It also provided direct experience with how analytical outputs acquire authority inside institutions.

A model does not influence the world through accuracy alone. It does so when organizations place it inside budgets, operating procedures, software systems, reporting structures, and executive decisions.

That experience sharpened my interest in:

• explainability and provenance; 
• the distinction between analytical output and decision authority; 
• the conditions under which institutions rely on technical systems; 
• delegated action and the ability to revoke authority; 
• the consequences of embedding uncertain outputs into operating structures. 

The entrepreneurial record demonstrates completed company building and executive execution.

After exiting Inpleo, I returned more directly to geophysics, planetary exploration, and field systems.

My current technical development includes:

• GIS and geoinformatics; 
• remote sensing and terrain analysis; 
• scientific computing and applied data analysis; 
• lunar and planetary mapping; 
• FAA Part 107 drone operations; 
• photogrammetry and field documentation; 
• autonomy, permission, and accountable-control architectures; 
• continuing marine and technical-diving development. 

This work is of maintaining contact with the physical and operational constraints that abstract systems often suppress: access, scale, sensing geometry, communications, mobility, environmental response, recoverability, and human limitation.

I am now developing Exploration Systems, a research program concerned with how exploration changes the conditions of its own future.

The program examines environments in which:

• the target state cannot be observed directly; 
• available evidence supports multiple plausible interpretations; 
• verification requires access, deployment, or disturbance; 
• the evidence-generating action changes the system or creates exposure; 
• future decisions become dependent on earlier assumptions and actions. 

The research connects geophysical inference, planetary and subsurface exploration, evidence acquisition, field systems, autonomy, architecture, optionality, reversibility, authority, and commitment. Its central concern is how evidence, action, and path dependence interact as exploration progresses.

The lunar south pole serves as the primary forcing case because the relationship among indirect sensing, persistent ambiguity, disturbance-dependent verification, surface access, resource assumptions, and infrastructure formation is unusually visible there. Selected Earth systems provide disciplined comparison, including geothermal development, carbon storage, critical minerals, marine and offshore infrastructure, grid systems, geological disposal, orbital systems, and autonomous physical systems. The purpose is to test whether specific mechanisms recur across them without assuming universal transfer.

Exploration Systems remains a developing research program. Its conceptual and formal architecture is substantial, but empirical validation, independent replication, domain calibration, and external adoption remain open obligations.

I founded Sustainable Exploration as the bounded institutional expression of selected Exploration Systems research.

Exploration Systems develops the scientific and analytical program. Sustainable Exploration translates selected parts of that work into controlled methods for specific institutional decisions.

Its work concerns situations in which incomplete physical evidence is beginning to shape:

• site position; 
• infrastructure; 
• capital; 
• access; 
• resource dependency; 
• operational sequence; 
• authority; 
• precedent. 

Depending on the decision stage, Sustainable Exploration may help identify where exposure begins, define the evidence required before escalation, test whether a proposed commitment may enter governed consideration, classify which governance posture remains defensible, or evaluate whether an existing commitment retains integrity. It does not approve projects or replace engineering, legal, financial, regulatory, safety, or operational authority. The responsible organization remains the Decision Authority.

1. Geophysics: Provides the scientific foundation for understanding indirect evidence, non-unique interpretation, physical scale, and the limits of inference.
2. Planetary exploration: Provides a forcing environment in which access, disturbance, emplacement, infrastructure, and long-lived consequence are difficult to obscure.
3. Field and remote systems: Maintain contact with the practical constraints of observation, movement, sensing, communication, recovery, and environmental exposure.
4. Artificial intelligence and autonomy: Introduce questions about explainability, delegated authority, provenance, negative permissioning, and human accountable control.
5. Entrepreneurship: Provides completed experience building organizations, products, commercial systems, and cross-functional operating structures under ambiguity.
6. Scientific program construction: Provides the architecture required to organize questions, methods, evidence, claims, open obligations, and future empirical work.
7. Decision governance: Provides a bounded institutional response when incomplete evidence begins shaping difficult-to-reverse commitment.

The scientific identity leads. The research program and institution provide context and application.

1. Physical reality outranks narrative: Institutional enthusiasm, market momentum, technical elegance, and public expectation do not make the underlying physical interpretation more authoritative.
2. Evidence has bounded authority: Evidence that supports continued investigation may not support infrastructure, dependency, capital escalation, autonomous action, or public certainty.
3. Learning is not always neutral: The actions required to improve understanding can change the environment, alter future observability, or begin narrowing the decision space.
4. Authority should remain visible: Technical analysis can inform consequential decisions, but it should not silently inherit legal, operational, financial, or institutional authority.
5. Reversibility must be examined early: The practical ability to defer, redesign, relocate, withdraw, or stop often degrades before a project is formally described as committed.
6. Application and validation are different: A framework may be useful in practice without having been scientifically validated. A successful outcome does not retrospectively prove that the original decision process was structurally sound.

My current work is concentrated in four areas:

1. Research development: Advancing bounded Exploration Systems questions into empirical, computational, experimental, and publication-grade work capable of independent review.
2. Scientific collaboration: Building relationships across geophysics, planetary resources, remote sensing, marine systems, autonomy, scientific assurance, and infrastructure research.
3. Formal and computational architecture: Developing the ontological, mathematical, evidentiary, and computational foundations required to make the program testable and traceable.
4. Institutional application: Developing Sustainable Exploration through controlled engagements while preserving the boundaries among research, commercial use, decision authority, and scientific validation.

I am most relevant to institutions and teams working where physical systems, intelligent technologies, infrastructure, capital, and authority interact.

Potential contribution areas include:

• scientific and research-program formation; 
• senior strategy and innovation; 
• institution and venture building; 
• exploration and infrastructure research; 
• geophysics and planetary-resource work; 
• remote sensing and field-system development; 
• AI, autonomy, permission, and accountable control; 
• evidence-to-commitment strategy; 
• bounded commitment-governance work through Sustainable Exploration. 

My strongest contribution often spans disciplines: It is structuring the relationship among evidence, physical uncertainty, intelligent systems, organizational action, and difficult-to-reverse commitment.