Malcolm Davidson
Materials Informatics Engineer
Campbell, California, United States
Summary
👤
Senior🎓
Top SchoolMalcolm Davidson is a Materials Informatics Engineer with eight years of experience applying Python, machine learning, and domain expertise in chemistry and materials science to turn experimental data into actionable insights. He has led data-driven pre-sales and delivery efforts at Citrine Informatics—building AI prototypes, repeatable practices, and multimillion-dollar B2B SaaS wins—and now drives materials data strategy and Granta MI adoption at Apple. Malcolm combines hands-on lab experience (catalysis, nanoparticles, TEM/XRD) and reactor design from his PhD with production-focused data tooling and open-data stewardship to bridge researchers and product teams. He is skilled at translating complex materials problems into pragmatic informatics workflows and has a track record of shipping python tooling for sampling, featurization, and data onboarding across global teams. Less obvious: he pairs deep experimental characterization experience with product-minded operations, enabling both novel materials discovery and scalable decision-making in large organizations.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Materials Science, Doctor of Philosophy (PhD), Materials Science at Colorado School of MinesB.S., Chemistry, 3.32, B.S., Chemistry, 3.32 at Louisiana State UniversityL.C. Anderson High School
Spanish
Github Skills (13)
materials-informatics5
mining4
api3
python3
reference-implementation3
science3
data-science2
machine-learning2
data-mining2
data-import1
csv1
csv-parser1
csv-reader1
Programming languages (3)
Github contributions (5)
matSciMalcolm/material-predictions
Jul 2019 - Aug 2022
Code for the Citrine Informatice data solutions engineer challenge.
Contributions:2 PRs, 36 pushes, 10 branches in 3 years 2 months
data-analyticspythondata-qualitydata-engineering
davidsonnanosolutions/citrine
Dec 2017 - Jan 2018
Contributions:13 pushes, 3 branches in 28 days
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