Justin Alsing

Justin Alsing Email and Phone Number

Founder at Calda AI | Physicist | Machine Learning Researcher @ Calda AI
Justin Alsing's Location
Greater Stockholm Metropolitan Area, Sweden
Justin Alsing's Contact Details

Justin Alsing personal email

About Justin Alsing

I solve problems at the intersection of complex data analysis, physics-modeling, and machine learning. I am a founder at Calda AI where we build AI solutions for optimizing heavy industrial processes.As a physicist at the University of Stockholm I develop new methods in machine learning and statistics for extracting information from complex datasets in the physical sciences. I work on a broad range of problems, from astrophysics and cosmology to climate science, machine learning methods, theoretical statistics and decision theory. My research includes high-impact and award-winning discoveries that have made international headlines.Check out my research here https://scholar.google.com/citations?user=ICPFL8AAAAAJ&hl=en&oi=ao, and my GitHub here https://github.com/justinalsing.

Justin Alsing's Current Company Details
Calda AI

Calda Ai

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Founder at Calda AI | Physicist | Machine Learning Researcher
Justin Alsing Work Experience Details
  • Calda Ai
    Founder And Ceo
    Calda Ai Jan 2021 - Present
    Stockholm
  • The Oskar Klein Centre
    Senior Researcher
    The Oskar Klein Centre Mar 2022 - Present
    Stockholm, Sweden
  • The Oskar Klein Centre
    Postdoctoral Researcher
    The Oskar Klein Centre Nov 2018 - Feb 2022
    Stockholm, Sweden
    - Developing new machine-learning and Bayesian inference methods for cosmological and astrophysical data analysis.- Neural-network emulation for speeding-up complex, computationally expensive physical model simulators (typically by factors of tens of thousands).- Machine-learning for mining physical models from sparse and noisy data.- Developing new framework for likelihood-free Bayesian decision making under (previously intractable) complex forward models.- Developing new ways of leveraging machine-learning for accelerating Bayesian hierarchical inference and predictive model comparison.
  • Freelance
    Consultant
    Freelance Jan 2018 - Present
    2019-2020 Foresight Data Machines and ArcelorMittal; machine learning modelling and control optimisation of the electric arc furnace for steel production.2019-2020 Volt Capital Management AB; machine learning for deep, dynamic portfolio optimisation.2020- Juste AI; cosmetic product recommendation based on (neural) image analysis.
  • Simons Foundation
    Postdoctoral Fellow
    Simons Foundation Oct 2016 - Nov 2018
    162 Fifth Avenue, New York City, 10003, Usa
    - Developed state-of-the-art framework for (machine-learning driven) likelihood-free inference, for performing Bayesian inference under (previously intractable) complex simulator models. Now widely used across the field.- Analysis of long-term trends in stratospheric ozone data; landmark result showing that the ozone layer at mid-latitudes is not recovering as expected (likely due to disruption from climate change)- Analysis of pulsar-timing data to infer population properties of binary neutron stars, and the implications for the properties of ultra-dense nuclear matter inside neutron stars.
  • Imperial College London
    Phd Astrophysics
    Imperial College London Sep 2012 - Aug 2016
    London, United Kingdom
    - Large-scale bayesian hierarchical modelling for galaxy surveys.- Development of new Bayesian sampling methods for hierarchical inference.- Analysis of weak lensing data for constraining cosmology.- Theoretical work in modified gravity (scalar tensor theories of gravity).
  • University Of Oxford
    Masters Research Student
    University Of Oxford Sep 2011 - Jun 2012
    Oxford, United Kingdom
    - Bayesian analysis of map-level data for inferring number counts of sources below the confusion- and noise-limits.
  • California Institute Of Techonology
    Ligo-Surf Research Fellow
    California Institute Of Techonology Jul 2011 - Sep 2011
    Pasadena, Ca, Usa
    - Theoretical work in modified gravity, deriving a number of phenomenological results in scalar tensor theories with massive scalar fields, and forecasting constraints for upcoming gravitational wave experiments.
  • Quantum Information Theory Group, University Of Oxford
    Research Assistant
    Quantum Information Theory Group, University Of Oxford Jul 2010 - Sep 2010
    Oxford, United Kingdom
    - Development of genetic algorithms for optimizing quantum interferometry.
  • High Energy Density Physics Group, University Of Oxford
    Research Assistant
    High Energy Density Physics Group, University Of Oxford Jul 2009 - Sep 2009
    Oxford, United Kingdom
    - Numerical simulation of x-ray scattering experiments.

Justin Alsing Skills

Mathematical Modeling Statistics Machine Learning Theoretical Physics Scientific Computing C/c++ Python Bayesian Inference C++

Justin Alsing Education Details

Frequently Asked Questions about Justin Alsing

What company does Justin Alsing work for?

Justin Alsing works for Calda Ai

What is Justin Alsing's role at the current company?

Justin Alsing's current role is Founder at Calda AI | Physicist | Machine Learning Researcher.

What is Justin Alsing's email address?

Justin Alsing's email address is ju****@****ail.com

What schools did Justin Alsing attend?

Justin Alsing attended Imperial College London, University Of Oxford.

What are some of Justin Alsing's interests?

Justin Alsing has interest in Gravitational Lensing, Large Scale Structure Of The Universe, Skiing, Dark Energy And Modified Gravity, Sea Kayaking, Wilderness, Adventure, Environment, Statistical Modelling, Big Data.

What skills is Justin Alsing known for?

Justin Alsing has skills like Mathematical Modeling, Statistics, Machine Learning, Theoretical Physics, Scientific Computing, C/c++, Python, Bayesian Inference, C++.

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