Chief Executive Officer
CurrentBuilding foundational audio&music models and their applications
Please complete the CAPTCHA to continue
A concise factual answer block for searchers comparing this professional profile.
Carl Johann Simon-Gabriel is listed as CEO @Mirelo.AI - Reach out at cjsg@mirelo.ai at Mirelo AI, based in Tübingen, Baden-Württemberg, Germany. AeroLeads shows a matched LinkedIn profile for Carl Johann Simon-Gabriel.
Carl Johann Simon-Gabriel previously worked as Chief Executive Officer at Mirelo Ai and Applied Scientist at Amazon Web Services (Aws). Carl Johann Simon-Gabriel holds Phd (Dr. Rer. Nat.), Machine Learning from Max Planck Society.
This section adds company-level context without repeating Carl Johann Simon-Gabriel's masked contact details.
Review company-level records connected to Carl Johann Simon-Gabriel before choosing the right outreach path.
I am co-founder and CEO of Mirelo AI, developing high-quality audio generation tools that empower content creators to easily and swiftly create the perfect music or sound for their projects and target audiences. Previously, I worked 10 years as an AI scientist, both in academia (Max Planck Institute, ETH Zürich) and in big tech (AWS Lablets, Meta FAIR), mainly on robustness and fairness of large (vision) models.
Listed skills include Machine Learning, Causal Inference, Computational Biology, Bioinformatics, and 20 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Tübingen, Baden-Württemberg, Germany
Building foundational audio&music models and their applications
June 2023 - present: Science of Scale @AWS-Lablets -- "Learning to Scale Team" to improve the training of large foundational modelsNov. 2021 - June 2023: developing methods to assess and improve robustness and fairness of computer vision models
Zürich, Switzerland
Group: Learning and Adaptive Systems, lead by: Prof. Andreas KrauseI plan to continue my work on adversarial examples, as well as to explore the links between causality, adversarial learning and reinforcement learning.
Tübingen, Germany
Advisor: Bernhard Schölkopf- Understanding adversarial examples- Theory of Generative Adversarial Networks (GANs)- Kernel based sample tests, kernel based metrics on probability distributions- Development of causality based algorithms for exoplanet detection- Population structure correction in GWAS- Subphenotype discovery in clinical diseases
Paris, France
In recent years, state-of-the-art convolutional network classifiers have been found utterly vulnerable to adversarial examples: their performance can be driven down by almost invisible -but targeted- perturbations of the input images.During my internship, I worked together with Yann Ollivier, Léon Bottou and David Lopez-Paz to help understanding the origin.
Paris
Advisor: Jean-Philippe VertStatistics and machine learning methods applied both to the study of phenotypic and genotypic properties of different yeast cell strains and to the modeling of the genetic recombination events (crossovers and non-crossovers) during meiosis
Borken - Lauenburg
Development of a pricing program to evaluate the cost of standard depots.Deputy Site Manager for the building of a depot in Lauenburg (near Hamburg).
Activities and Societies: Student Association (Bureau des Eleves), Ski-Club
Quick answers generated from the profile data available on this page.
Carl Johann Simon-Gabriel works for Mirelo AI.
Carl Johann Simon-Gabriel is listed as CEO @Mirelo.AI - Reach out at cjsg@mirelo.ai at Mirelo AI.
Carl Johann Simon-Gabriel is based in Tübingen, Baden-Württemberg, Germany while working with Mirelo AI.
Carl Johann Simon-Gabriel has worked for Mirelo Ai, Amazon Web Services (Aws), Eth Zürich, Max Planck Institute For Intelligent Systems, and Facebook Ai.
You can use AeroLeads to view verified contact signals for Carl Johann Simon-Gabriel at Mirelo AI, including work email, phone, and LinkedIn data when available.
Carl Johann Simon-Gabriel holds Phd (Dr. Rer. Nat.), Machine Learning from Max Planck Society.
Carl Johann Simon-Gabriel is listed with skills including Machine Learning, Causal Inference, Computational Biology, Bioinformatics, Genomics, Geostatistics, Statistics, and Matlab.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts