Justin Alsing
Founder And CEO at The Oskar Klein Centre
Greater Stockholm Metropolitan Area Sweden
Summary
👤
Senior🎓
Top SchoolJustin Alsing is a physicist-turned-founder who builds AI engines to optimize heavy industrial processes, drawing on eight years of experience at the intersection of complex data analysis, physics-based modeling, and machine learning. As Founder & CEO of Calda AI and an Assistant Professor at The Oskar Klein Centre, he applies likelihood-free Bayesian methods and neural-network emulation to accelerate and scale inference for expensive simulators by orders of magnitude. His academic record—35+ peer-reviewed papers, 3000+ citations, and an h-index above 20—includes award-winning, high-impact results spanning astrophysics, cosmology, and climate science. He has a track record of translating research into industry impact through consulting projects for steel production and finance, and his work has repeatedly advanced practical decision-making under previously intractable forward models. Not obvious from the title: he specializes in accelerating hierarchical Bayesian inference and crafting ML-driven emulators that turn slow physical simulators into deployable, real-time optimization tools.
8 years of coding experience
6 years of employment as a software developer
MPhys Physics, Physics, First Class Honours, MPhys Physics, Physics, First Class Honours at University of OxfordDoctor of Philosophy (PhD), Astrophysics, Doctor of Philosophy (PhD), Astrophysics at Imperial College London
Github Skills (36)
spectra10
simulations10
sampling10
density-estimation10
galaxy10
prediction-model9
smoothing9
stellar9
emulation8
regression8
inference8
machine-learning8
synthesis8
meteorology8
atmospheric-modelling7
Programming languages (3)
Github contributions (5)
justinalsing/speculator
Nov 2019 - Jun 2021
Neural network emulation of Stellar Population Synthesis (SPS) models for galaxy spectra and photometry
Contributions:3 releases, 51 commits, 4 PRs in 1 year 7 months
network-emulationphotometrypopulation-synthesisspssynthesis
justinalsing/pydelfi
Mar 2019 - Jan 2023
Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
Contributions:1 release, 129 commits, 4 PRs in 3 years 10 months
likelihood-free-inferenceadaptiveinferencesimulationsmachine-learning
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