ELEMENT.

First-Principles Data Engineering & Applied Science.

We architect, engineer, and deploy high-velocity data infrastructure and custom AI and machine learning solutions to streamline asset-heavy commercial operations, automate telemetry data, and protect margins.

Strategic Applications

We partner with forward-thinking leadership teams navigating high-consequence operational realities. Typically, our clients fall into three distinct environments:

  • Asset-Heavy Operations & Legacy Infrastructure

    Established organizations managing decades of multi-generational historical records, spatial assets, and fragmented telemetry inputs looking to unify their systems and automate high-stakes workflows.

  • Complex Network & Spatial Topologies

    High-growth operations requiring advanced mathematical modeling to map, analyze, and optimize distributed physical networks, asset relationships, and resource constraints.

  • Early-Stage Ventures & Venture-Backed Teams

    High-potential startups navigating the intersection of rapid commercial scaling and unproven technical architecture. We step in as a strategic technical defense, aligning business logic with underlying data pipelines to de-risk execution and bulletproof the technology stack for institutional capital allocation and investor due diligence.

Pragmatism Engineered with Rigor

At ELEMENT, we believe true digital transformation is rooted in architectural pragmatism. Not every operational bottleneck requires an expensive, bloated machine learning solution. Sometimes, rigorous classical statistical modeling is the most elegant, transparent, and stable path forward.

We choose the optimal tool–or build entirely new ones from scratch–to deliver operational clarity. Backed by over a decade of scientific research and development at the post-Ph.D. level, we isolate systemic noise and engineer bulletproof data foundations for problems that standard consulting templates cannot touch.


Photo of Gregory Pang

Principal & Leadership

Gregory Pang, Ph.D.

Founder, Principal, and Managing Member

Dr. Gregory Pang has an extensive history providing quantitative and impactful results as a nuclear physicist, data scientist, and data science and technical consultant. A sampling of the problems he works on for his private clients ranges from assessing the health of groundwater subbasin networks from sparse data observations in both spatial and temporal dimensions, to elevating an organization’s marketing channel investment strategy using marketing mix modeling.

In the public space, he develops quantitative priority plans and data stewardship practices to facilitate data-driven decision support for natural resource management. He was the principal data science consultant working on the priority plan development for the Resource Conservation District of Tehama County (RCDTC) when it was the administrative lead for the Northern Sacramento Valley Coalition (NSVC - comprised of Tehama County, Glenn County, parts of Shasta County, and parts of Siskiyou County) for the Regional Forest and Fire Capacity (RFFC) grant.

Greg has also worked closely with the Dry Creek Rancheria Band of Pomo Indians on a series of studies as part of the California Coastal Conservancy Forest Health and Wildfire Resilience Program focused on tracking the changing landscape of the Pomo territory over a 25-year period using satellite imagery.

Prior to starting his own consulting company, Greg was a data scientist and employee #5 at a Bill Gates and Jeff Bezos backed startup where he developed machine learning algorithms to identify high-value subterranean ore deposits from a combination of remote sensing data, geochemical data, and geophysical data from public and private data sources.

Before making the transition to data science, Greg had been solving complex problems since the age of 15, when he began working at the Stanford Linear Accelerator Center. He subsequently built his nuclear physics career at Lawrence Berkeley National Labs and was responsible for marrying atomic physics-based ion-trapping techniques to the field of super heavy element synthesis in particle accelerator experiments. 

Greg was selected to be part of the American contingent on the German-American experimental team whose work, at Gesellschaft fur Schwerionenforschung (GSI) in Darmstadt, Germany, confirmed the discovery of element 117, now known as Tennessine (Ts) on the periodic table.

He has been invited to give talks in Germany, Japan, Canada, and across the United States. He has presented his research to four eras of the United States Secretary of Energy and countless congressmen, congresswomen, scientific leaders, and business leaders.

Advisory & Institutional Appointments

Beyond active consulting execution through ELEMENT, Dr. Pang serves as a Primary Advisor to HydrosAgriTech, a pioneer in advanced water technology and industrial implementation frameworks. In this principal advisory and core engineering capacity, he provides strategic and architectural oversight on science, AI, sensor telemetry architectures, data (spatial and corporate) governance, and algorithmic modeling.

This targeted institutional appointment ensures ELEMENT remains at the absolute leading edge of resource-management technology. It allows Greg to bring advanced, tested spatial intelligence directly to our active commercial clients in utilities, public conservation districts, and viticulture operations. 

Core Capabilities

  • First-Principles Data Engineering

  • Applied Science & AI Architecture

  • Custom Algorithmic Modeling

  • Spatial & Time-Series Analysis

  • Multi-Spectral Remote Sensing

  • Asset-Heavy Process Automation

  • Cross-Functional Consortium Leadership

We’d love to work with you.