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.
Environmental chemical data science
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.
What the data can reveal
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.
01 · Reveal structure
Reveal the underlying organization within complex chemical datasets, exposing patterns, gradients, and relationships that are difficult to recognize using conventional summaries.
02 · Resolve mixtures
Separate complex mixtures into their underlying chemical components, revealing recurring patterns, source contributions, and otherwise hidden compositional structure.
03 · Strengthen comparison
Transform high-dimensional analytical measurements into robust chemical fingerprints that support sample comparison, source attribution, anomaly detection, and forensic interpretation.
Meet us
NonPoint Forensics combines environmental chemistry, analytical science, multivariate statistics, and machine learning to help clients answer difficult questions from complex chemical data.
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.