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What does the Human Genome, every image on Google and your chemical data set all have in common?

High-dimensional data reduction using Machine Learning can help find the commonalities hidden in big data.

The ability to collect data is constantly exponentially evolving and there has a been a surge in exploring the world of ‘Big Data Analytics’ in environmental forensics. This coupled with the high-throughput...

Tidy Data

As a teenager, I was notorious in my family for having the messiest of rooms. While I preferred to call it “organized chaos” rather than a mess, I cannot deny the amount of time and effort I spent (wasted) when needing to locate something in that chaos. The struggles I had in finding that missing sock, or my essay...

BY Steve Shideler Data Science, Big Data

Building trust in statistical models for environmental data

Models and modelling, I was never a big fan.  I always thought that you could make models say whatever you want them to say.  But, many years later, I have changed my tune, particularly for statistical models.  Used right, models can provide convincing lines of evidence that you have the correct answer to your ...

BY Court Sandau Data Science, machine learning

Knowing vs. Knowledge

GI Joe was wrong!  Knowing is not  half the battle (in environmental work)!  It is barely a tenth of the battle, at best.  There is a lot of confusion in the environmental industry, maybe even misrepresentation of what a company or person is capable of doing and what they are actually qualified to do.  Especially...

Want to find errors in your data? Start analyzing it.

It may be counter intuitive to start statistical analysis on a dataset that hasn’t been fully vetted, but that is exactly what can be done for environmental contaminant datasets. If you can QA-QC them, great. If not, dive right in and start analyzing them.

Three reasons why GCxGC should be used for arson investigations

 

 

 

This month, our team at Chemistry Matters Inc. were able to share some of our knowledge through a peer reviewed publication that was published in a scientific journal called Forensics International.  The paper describes the use of comprehensive two-dimensional chromatography (GCxGC) for fire debris...

Big Data GCxGC Analysis and Potential Applications in Forensics

Having recently joined the team at Chemistry Matters Inc., I am excited to have transitioned from academic science to an industry position that has allowed me to apply, on a daily basis, laboratory techniques that I learned and practised during my undergraduate and graduate studies.

MDC Workshop 2020 Summary

Well, that's a wrap. The 11th multidimensional chromatography workshop held at Chaminade University in Honolulu, Hawaii is over. Another year, another MDCW in the books. The conference was niche and almost all the talks focused on two dimensional gas chromatography.

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