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InfoTox Insights

Kimberly Deas, PhD, MS

In this newsletter, I’ll explore how cheminformatics and computational toxicology drive innovation in drug discovery, predict adverse health effects of chemicals, and contribute to environmental protection.

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Substack
PricingOnly free issuesPublishesWeekly
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Latest Issues

Recent posts by this newsletter. Browse the email archive.

From Mass Spec to Machine Learning: A Three-Decade Journey Back to Environmental Engineering (Mixed with a HUGE dose of Data Science and Analytics)

Thirty years ago this month, I was analyzing volatile organic compounds in aquatic systems using mass spectrometry as a first-year Environmental Engineering graduate student. After pivoting to Chemistry and pursuing medical school preparati...

3 months ago
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July 2025 Edition: Happenings & Highlights in Environmental Informatics, Chemical Informatics, and Computational / Environmental Toxicology

> As someone that spent a good part of the past 1.5 years networking and applying to gigs at the EPA with the goal of working in Environmental Toxicology with a big splash of Informatics and AI/ML, reading that a recent decision was made to...

4 months ago
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Why I’m Excited About the NIH’s Shift Toward Reducing Animal Use in Research

Back in the day, I worked as a Lab Tech early in my Scientific career. And I was required to conduct animal experiments, something I deeply hated and vowed never to do again. So when I read that the NIH was now working to prioritize human b...

5 months ago
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Streamlining Work in Environmental Toxicology: REOS and Lipinski's Rule of Five for Mutagenic Impurities

It's been a minute since I've done any computational work in chemical informatics / computational toxicology but I thought it might be fun get back into it with a mini project. Last week in my InfoTox Insights newsletter, I highlighted some...

10 months ago
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Authors

The writers behind this newsletter.

  • Kimberly Deas, PhD, MS

    Dr. Kimberly Deas is a Principal Analytics Research Scientist, Health Disparities Expert, Data Analytics Professor, and Entrepreneur. She has a PhD in Biomedical Informatics and also holds MS degrees in Pharmacology and Chemistry.

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