Independent advisory for mitochondrial, metabolic, and complex biological measurement systems
Where biology, measurement, and interpretation meet to support better decisions
Baseline focuses on the connections between functions, where biology, assay design, instrumentation, software outputs, workflow transfer, interpretation, claims, and decisions must remain aligned.
We help life science teams determine whether their data, workflows, interpretations, and claims are strong enough to support the next decision.
WHY COMPLEX BIOLOGICAL DATA FAIL TO SUPPORT DECISIONS
Generating data is not the same as generating decision-ready evidence.
A technically successful experiment can still lead to weak conclusions when the biological model, assay design, workflow, instrument behavior, software outputs, interpretation, and intended use are not fully aligned.
The result is delayed decisions, repeated work, weak workflow transfer, and reduced confidence in scientific or client-facing conclusions.
COMMON FAILURE POINTS INCLUDE:
The biological model does not fit the question.
The workflow performs differently across users, sites, or instruments.
Critical assay variables are not adequately controlled.
Software-derived outputs are treated as direct biological conclusions.
Claims extend beyond what the evidence can support.
Baseline helps identify where the measurement chain is breaking—and what needs to be strengthened before the next decision.
WHAT BASELINE IS
Principal-led scientific advisory for teams working with mitochondrial, metabolic, and complex biological measurements.
We provide independent judgment across the measurement chain—how biology is measured, how workflows perform, how outputs are generated, what results mean, and what decisions the evidence supports.
WHERE WE EXCEL
Mitochondrial and metabolic measurement is our deepest domain.
Bioenergetics and live-cell metabolism
ATP production and glycolysis
Substrate oxidation and metabolic flexibility
Permeabilized-cell and isolated mitochondria
Mitochondrial toxicity and translational interpretation.
THE BROADER MODEL
Measurement-chain advisory that connects biology, assay design, workflow reliability, platform behavior, software-enabled outputs, interpretation, training, communication, and decision use.
Our goal is evidence that is interpretable, defensible, and strong enough for the decision you need to make.
How Baseline Helps
Three Ways we help teams move from data to confident decisions
Measurement and Interpretation
Review data, workflows, and outputs to clarify what the biology means—and what it does not.
Technology-to-Biology Translation
Connect what the technology measures to what the biology means and what can be legitimately concluded.
Evidence, Claims, and Decision Readiness
Strengthen claims, figures, reports, training materials, and narratives so they align with evidence and use.
WHEN BASELINE IS A GOOD FIT
A data package, workflow, or interpretation is being used to support a decision.
Outputs or claims are being questioned internally or externally.
A workflow is hard to transfer, standardize, or interpret consistently.
Software-derived outputs need biological context.
Scientific claims, figures, or materials need expert review before external use.
You need senior scientific judgment for a focused question or complex challenge.
EXPERIENCE SNAPSHOT
Built on extensive Seahorse/XF ecosystem experience—our proving ground for broader measurement-system advisory. We bring deep hands-on experience across:
Assay architecture and experimental design
Platform, application, and product development
Reagents and kit concepts
Software-enabled outputs and interpretation
ATP production rate measurement and interpretation
Workflow transfer, validation, and training
Scientific communication and adoption
RECENT PUBLICATION
From mitochondrial signal to discovery decision: a reserve–demand framework for translational risk assessment
George W. Rogers and Yvonne Will
Expert Opinion on Drug Discovery, 2026
Our new Perspective, co-authored with Yvonne Will, addresses a persistent challenge in drug discovery: how to translate mitochondrial safety findings into practical development decisions.
Rather than treating mitochondrial effects as binary hazards, we propose a reserve–demand framework that integrates mechanism, exposure relevance, temporal progression, and translational concordance. These considerations are linked to four practical actions: Stop, Optimize, Monitor, or Acceptable Risk.
The goal is to make mitochondrial safety interpretation more consistent, transparent, and useful for chemistry, candidate selection, monitoring, and translational risk management.
Bring us your toughest measurement or interpretation challenge.
We’ll help you see it clearly.
Before the Next Decision—What’s the Baseline?
Founder and Principal
George W. Rogers, Ph.D., is the founder and principal of Baseline Bio Advisory. He brings extensive experience in mitochondrial bioenergetics, cellular metabolism, assay development, workflow validation, platform translation, and scientific interpretation.
His work spans the full measurement system—from biology, assay design, and reagents to instrumentation, software, data analysis, training, and adoption. Through Baseline, George helps life-science organizations improve assay reliability, strengthen interpretation, support technology transfer, and translate complex biological measurements into clearer, more defensible decisions.
Learn more about George’s experience, publications, and scientific work on LinkedIn.