Yannis Flet-Berliac Email & Phone Number
@stanford.edu
3 phones found area 216 and 380
LinkedIn matched
Who is Yannis Flet-Berliac? Overview
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Yannis Flet-Berliac is listed as Research Scientist @Cohere | Postdoc @Stanford | Associate Program Chair @ICML’23 at Cohere, a with 17 employees, based in France. AeroLeads shows a work email signal at stanford.edu, phone signal with area code 216, 380, and a matched LinkedIn profile for Yannis Flet-Berliac.
Yannis Flet-Berliac previously worked as Research Scientist at Cohere and Research Scientist at Instadeep Ltd. Yannis Flet-Berliac holds Postdoc, Computer Science from Stanford University.
Email format at Cohere
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About Yannis Flet-Berliac
Working on LLMs & Offline/Online RL as a Research Scientist at Instadeep. I am particularly interested in using Offline RL as a driving force to achieve practical LLM alignment through RL from human feedback.Previously I was a Postdoctoral Scholar at Stanford AI Lab where I worked with Emma Brunskill and her students on Offline RL and Deep RL algorithms for real-world applications.I completed my PhD at Inria where my research focused on sample-efficient Deep RL algorithms for control, exploration and safety. I graduated from DTU and École Centrale with two MSc.In the professional sphere, I have worked as a ML Engineer at iAdvize, specializing in NLP, and have gained experience in three startups in Denmark, with roles spanning NLP, Computer Vision, and Speech Processing.I am honored to serve as an Associate Program Chair at the 40th International Conference on Machine Learning (ICML) conference, which will be held in Hawaii.
Listed skills include Machine Learning, Data Science, Data Analysis, Project Management, and 15 others.
Yannis Flet-Berliac's current company
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Yannis Flet-Berliac work experience
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Postdoctoral Scholar
Research in Emma Brunskill's lab working on Offline RL, Imitation Learning & Deep RL.Applications in Robotics, Healthcare and Education.
Ph.D. Candidate
PhD Thesis: “Sample Efficient Deep Reinforcement Learning for Control, Exploration and Safety”.Jury: Ann Nowé, Bruno Scherrer, Luce Brotcorne, Anders Jonsson, Joëlle Pineau, Adam White.Supervised by Philippe Preux, funded by the University of Lille and hosted by Inria (SequeL team), CRIStAL lab and CNRS.The research project explores how to enable computers to efficiently gain autonomy in stochastic and non-stationary environments. The thesis focus on reinforcement learning entails improved sample efficiency, transfer learning, generalization, lifelong learning and safety. My research work includes developing new neural architectures and extending reinforcement learning methods to develop new training algorithms.
Machine Learning Engineer (Nlp)
iAdvize is the European leader in conversational marketing.Building a conversational model for human/machine interface using NLP & Deep Learning.
Research Assistant
Computer Vision (CV)Conducting research on:× DNN for image classification× GAN for image generation where the output is inspired by joint distributions of human artworks
Machine Learning Researcher
Computer Vision (CV)× Defining the roadmap for the machine learning projects of the company× Building multiple purpose [style, genre, medium, artist] image classification models for artwork using deep learning and fine tuning techniques× Designing a web app to collect feedback from the model's predictions
Machine Learning Engineer (Nlp)
Two projects :(1) Using machine learning and network science to build a web app deployed on AWS using recommendation and similarity algorithms powered by LDA -- the objective was to improve EasyTranslate's workflow.(2) Using deep learning to build a machine translation with TensorFlow's sequence-to-sequence neural network (and LSTM architecture) -- the objective was to build an English-to-French machine translation.
Data Scientist
× Data Science for Business Intelligence× Coverage: revenue forecast, customer segmentation and behaviour× Tools: Python, MySQL, Tableau and Javascript (for asynchronous API extractions)
Junior Project Manager
× Digital innovation× UX design× Business transformationA consultancy company in digital innovation where I worked as a junior project manager. I was designing disruptive digital services and managing digital integration in businesses (some of our clients: MGEN, Caisse d'Épargne, GESCO).
President Of Enactus Centrale Nantes
× Social Entrepreneurship association× Coordinated 6 teams of 90 active students focusing on different international projects× Competed for the Enactus National Competition
Coordination Of Communications
Market Analysis & Sales
Urban Lighting:× Identifying the manufacturers and retailers× Analysis of competitors strengths× Impact of dynamic lighting technologies
Colleagues at Cohere
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Tom Hosking
Colleague at CohereEdinburgh, Scotland, United Kingdom
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CD
Casey D.
Colleague at CohereToronto, Ontario, Canada
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AR
Alejandro Rodríguez Salamanca
Colleague at CohereCopenhagen, Capital Region Of Denmark, Denmark
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BL
Barbara Leal
Colleague at CohereDallas, Texas, United States
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VQ
Virginia Quaranta
Colleague at CohereWoodbridge, Ontario, Canada
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AP
Aidan Peppin
Colleague at CohereLondon, England, United Kingdom
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AW
Alex Wang
Colleague at CohereToronto, Ontario, Canada
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AG
Aaron Gill-Braun
Colleague at CohereToronto, Ontario, Canada
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NI
Nermeen I.
Colleague at CohereChicago, Illinois, United States
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YL
Yanny Li
Colleague at CohereRichmond Hill, Ontario, Canada
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Yannis Flet-Berliac education
Postdoc, Computer Science
Doctor Of Philosophy - Phd, Computer Science
Computer Science, Digital Media Engineering (Msc)
Engineering, General Engineering Diploma (Msc)
Master'S Degree, Management Of Digital Business & It
Classes Préparatoires Aux Grandes Écoles (Pcsi And Pc*)
Frequently asked questions about Yannis Flet-Berliac
Quick answers generated from the profile data available on this page.
What company does Yannis Flet-Berliac work for?
Yannis Flet-Berliac works for Cohere.
What is Yannis Flet-Berliac's role at Cohere?
Yannis Flet-Berliac is listed as Research Scientist @Cohere | Postdoc @Stanford | Associate Program Chair @ICML’23 at Cohere.
What is Yannis Flet-Berliac's email address?
AeroLeads has found 1 work email signal at @stanford.edu for Yannis Flet-Berliac at Cohere.
What is Yannis Flet-Berliac's phone number?
AeroLeads has found 3 phone signal(s) with area code 216, 380 for Yannis Flet-Berliac at Cohere.
Where is Yannis Flet-Berliac based?
Yannis Flet-Berliac is based in France while working with Cohere.
What companies has Yannis Flet-Berliac worked for?
Yannis Flet-Berliac has worked for Cohere, Instadeep Ltd, Stanford University, Inria, and Iadvize.
Who are Yannis Flet-Berliac's colleagues at Cohere?
Yannis Flet-Berliac's colleagues at Cohere include Tom Hosking, Casey D., Alejandro Rodríguez Salamanca, Barbara Leal, and Virginia Quaranta.
How can I contact Yannis Flet-Berliac?
You can use AeroLeads to view verified contact signals for Yannis Flet-Berliac at Cohere, including work email, phone, and LinkedIn data when available.
What schools did Yannis Flet-Berliac attend?
Yannis Flet-Berliac holds Postdoc, Computer Science from Stanford University.
What skills is Yannis Flet-Berliac known for?
Yannis Flet-Berliac is listed with skills including Machine Learning, Data Science, Data Analysis, Project Management, Strategic Communications, Programming, Python, and Digital Innovation.
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