Simon Bussy, Phd. work email
- Valid
- Valid
- Valid
Simon Bussy, Phd. personal email
Building the next generation of sustainable and high-quality fresh food supply systems is at the heart of Califrais’ innovation. We believe that improving the resilience of complex and dynamic systems starts with creating technological tools that enable us to simultaneously capture clean data, and to act on it. Invoking high-dimensional learning algorithms in combination with an adequate modeling of large-scale fresh produce flows will dramatically reinvent how global food supply chains can be optimized.I’m the founder & CEO of Califrais, the startup which revolutionizes the fresh food supply chain with AI and eco-friendly mind. Within our research lab LOPF - Large-scale Optimization of Product Flows - we are building new generation of machine learning algorithms to reinvent perishable inventory management, dynamic pricing, or churn modeling in our business segment. See simonbussy.com for details.
-
Founder And CeoCalifraisParis, Fr
-
Founder & CeoRungismarket.Com Jan 2022 - PresentRungismarket.com is the new marketplace of Rungis, the biggest fresh produce market in the world. We provide an innovative one-stop shop delivery service in France, and soon in Europe. Our technology allows for unrivaled flexibility in service, with competitive prices thanks to optimized costs and an outstanding reliability in supplies thanks to controlled flows. -
Founder & CeoCalifrais Sep 2014 - PresentChevilly-Larue, Île-De-France, Fr@Califrais we are re-inventing the fresh food supply chain with AI. Supply chain and Food are two industries with a high impact on the environment and they are still particularly underdeveloped when it comes to AI and data science tools. We designed new tools for multi-site optimization of stock management, price optimization, market volatility, and much more.
-
Founder & CeoFoodufrais Jun 2020 - Jul 2021Ile De France, FrFoodufrais was a service that offered privileged access to the prestigious Rungis market for individuals. -
Associate ResearcherInserm Umrs1138 Jan 2020 - Jul 2021FrDesign of new statistical learning methods, with a particular emphasis on high-dimensional problems with longitudinal data. -
Lecturer In Statistics & Machine LearningUniversité De Paris Jan 2018 - Jul 2021Paris, Ile De France, FrStatistical Learning, Survival Analysis, Longitudinal data. -
Postdoctoral ResearcherCentre De Recherche Des Cordeliers Nov 2018 - Dec 2019Paris, Île-De-France, FrWe introduced a prognostic method called lights to deal with the problem of joint modeling of longitudinal data and censored durations in a high-dimensional context. The technology is developped in the Califrais' Lab. -
Research ProjectCmap Ecole Polytechnique Apr 2015 - Aug 2015FrUsing a high-dimensional case study on a sickle-cell disease cohort with heterogeneous longitudinal data, the goal of the project was to compare existing machine learning methods in terms of risk prediction and feature selection. -
Research Project On Multi-Armed BanditÉcole Normale Supérieure Paris-Saclay Nov 2014 - Jan 2015Gif-Sur-Yvette, Île-De-France, FrIn the context of a movie recommendation system, one can imagine that instead of recommending just one movie to a user, we recommend a bunch of movies, and qualify our recommendation as good if the user clicks on one of the films. This situation can be modeled by a multi-armed bandit models in which at each round, a certain number of arms are drawn simultaneously.This problem is a particular case of what is sometimes called in the literature a combinatorial bandit problem. The goal of this project was to understand this recent set up and then to adapt the classical stochastic MAB algorithms (UCB and Thompson Sampling) to this context. -
Research ProjectDreem Oct 2014 - Jan 2015Paris, Île-De-France, FrThe project is proposed by the startup Dreem. The data consists of epochs of 3 seconds of EEG signal and the goal is to detect slow oscillations to enable the start-up product to help the user switching stages of sleep by stimulating the appearance of slow oscillation. -
Data ScientistOrange Silicon Valley Feb 2014 - Aug 2014Issy-Les-Moulineaux, Île-De-France, Fr• Test different Big Data plateforms: Hadoop related technologies (HBase, HDFS, Pig, Hive, Sqoop), Cassandra and Spark• Deploy Hadoop clusters on virtual & physical machines• Study Big Data tools business opportunities for telecommunication companies• Develop Machine Learning models to predict startups valuation trends• Communicate on Deep Learning: how does it work & use cases -
Research Project On Deep LearningTelecom Sudparis Oct 2013 - Jan 2014Evry, FrTheoretical & experimental study of the article "Layer-Wise Training of Deep Generative Models" (Ludovic Arnold, Yann Ollivier) -
Research Project: Optimal Unsupervised Segmentation Of Pairwise Markov ProcessTelecom Sudparis Apr 2013 - Jun 2013Evry, FrKalman filter generalization
-
Research Project: Performance Testing Of A Seam Carving AlgorithmThales Communication & Security Jun 2012 - Aug 2012Meudon, Île-De-France, Fr
Simon Bussy, Phd. Skills
Simon Bussy, Phd. Education Details
-
Sorbonne UniversityMachine Learning -
Ecole Normale SupérieureComputer Science
-
Télécom SudparisStatistics & Data Mining
-
Cpge At Lycée Louis ThuillierPhilosophy
Frequently Asked Questions about Simon Bussy, Phd.
What company does Simon Bussy, Phd. work for?
Simon Bussy, Phd. works for Califrais
What is Simon Bussy, Phd.'s role at the current company?
Simon Bussy, Phd.'s current role is Founder and CEO.
What is Simon Bussy, Phd.'s email address?
Simon Bussy, Phd.'s email address is si****@****oup.com
What schools did Simon Bussy, Phd. attend?
Simon Bussy, Phd. attended Sorbonne University, Ecole Normale Supérieure, Télécom Sudparis, Cpge At Lycée Louis Thuillier.
What are some of Simon Bussy, Phd.'s interests?
Simon Bussy, Phd. has interest in Big Data, Entreprenariat, Musique, Cuisine, Musique Classique Et Jazz, Tennis.
What skills is Simon Bussy, Phd. known for?
Simon Bussy, Phd. has skills like Data Analysis, Algorithms, Computer Science, Big Data, Data Mining, Machine Learning, Statistics, Statistical Modelling And Applications, Optimization, Data Science, Numerical Analysis, Artificial Intelligence.
Who are Simon Bussy, Phd.'s colleagues?
Simon Bussy, Phd.'s colleagues are Adeline Fermanian, Jérémie Sulty, Alexander Maska, Rachel Carvalho Barata, Nassim Bendjaber, Christopher Panneau, Jean-Philippe D..
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial