Anders Christensen

Lead Machine Learning Researcher at Iambic Therapeutics

Copenhagen, Capital Region of Denmark
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Summary

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Senior
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Anders Christensen is a Lead Machine Learning Researcher with 13 years of experience applying ML and AI to chemistry and pharma, currently leading efforts at Iambic Therapeutics from Copenhagen. He brings deep academic roots—a PhD in theoretical chemistry—and a track record of translating methods into production-ready tools, including core authorship of the Python QML package used for quantum-chemistry ML. Anders has advanced kernel-based models and 3D molecular fingerprints that achieved state-of-the-art benchmark accuracy and enabled ML-driven molecular dynamics and VR-based simulations. As an independent consultant and trainer he advises industry partners on ML for chemistry and has taught AI deployment on Intel hardware, blending research rigor with practical deployment experience.
code13 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD Theoretical Chemistry, Doctor of Philosophy - PhD Theoretical Chemistry at Københavns Universitet - University of Copenhagen
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Github Skills (54)

machine-learning10
binding10
quantum-computing10
qml10
qiskit10
computational-chemistry9
cheminformatics9
xyz9
chemistry9
gaussian8
entropy8
python8
deviation8
materials-informatics8
quantum-chemistry8

Programming languages (5)

C++ElmHTMLPythonFortran

Github contributions (5)

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andersx/goptimizer

Feb 2016 - Aug 2018

Tool to use the Gaussian 09 geometry optimizer with energy and force supplied by an external program.
Contributions:6 commits, 1 PR, 5 pushes in 2 years 7 months
physicspythonentropygaussianoptimizer
qmlcode/qml

Apr 2017 - Sep 2019

QML: Quantum Machine Learning
Contributions:5 releases, 97 commits, 128 PRs in 2 years 5 months
qmlquantum-computingmachine-learningprototypequantum
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Anders Christensen - Lead Machine Learning Researcher at Iambic Therapeutics