Environmental chemical data science

Transforming Complex Chemical Data into Defensible Insight

NonPoint Forensics partners with environmental consulting and forensic firms to make sense of complex chemical datasets. We reveal meaningful patterns, test relationships, and deliver statistically defensible interpretations that support confident decisions.

You provide the chemical data.
We reveal the defensible evidence within it.
Diagram showing chemical data transformed through advanced data science, scientific expertise, and robust analyses into defensible interpretation, clear communication, and actionable insight.

What the data can reveal

Extract More Defensible Information

Complex chemical datasets often contain substantially more information than conventional summaries reveal. We develop and apply rigorous analytical frameworks that expose the structure, signals, and diagnostic patterns embedded within the data.

Ordination plot illustrating meaningful latent structure in complex chemical data.

01 · Reveal structure

Extract Meaningful Latent Structure

Reveal the underlying organization within complex chemical datasets, exposing patterns, gradients, and relationships that are difficult to recognize using conventional summaries.

Heatmap illustrating the deconvolution of mixed chemical signals.

02 · Resolve mixtures

Deconvolute Mixed Chemical Signals

Separate complex mixtures into their underlying chemical components, revealing recurring patterns, source contributions, and otherwise hidden compositional structure.

Mass-to-charge ratio versus retention time plot illustrating diagnostic chemical fingerprints.

03 · Strengthen comparison

Generate Diagnostic Chemical Fingerprints

Transform high-dimensional analytical measurements into robust chemical fingerprints that support sample comparison, source attribution, anomaly detection, and forensic interpretation.

Meet us

Scientific Expertise Focused on Defensible Interpretation

NonPoint Forensics combines environmental chemistry, analytical science, multivariate statistics, and machine learning to help clients answer difficult questions from complex chemical data.

Gerrad Jones, founder and principal scientist of NonPoint Forensics

Gerrad Jones, PhD

Founder & Principal Scientist

Dr. Jones is an environmental engineer specializing in high-dimensional chemical data analysis, multivariate statistics, machine learning, and environmental forensics. His work focuses on developing scientifically rigorous methods that transform complex analytical measurements into defensible environmental evidence.