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 (23)
density-estimation10
emulation8
inference8
time-series7
open-access6
journal6
neural-network5
creative-commons5
statistics5
academia4
mcmc4
tensorflow4
generative-model4
deep-learning3
bayesian-methods3
Programming languages (3)
Github contributions (5)
justinalsing/dlmmc
Sep 2018 - Apr 2020
Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
Contributions:1 release, 104 commits, 3 PRs in 1 year 7 months
time-series
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
emulationneural-network
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