From Science to Data Science #1

Friday, 31 March 2017
CRI, Montparnasse tower

Link to tickets

See the leaflet

Intro

Urszula Czerwinska

slides
email: urszula.czerwinska@cri-paris.org
website: http://urszulaczerwinska.github.io/

Nicolas Thiebaut

From PhD in Theoretical Physics to Data Science Consultant, Quantmetry

slides

Keywords

PhD:
- transverable skills
- coding
- focused on specific field
QuantMetry
- data consulting start-ups
- very diverse projects
- Python
- R&D, recruting, presentations

Contact

LinkedIn: https://www.linkedin.com/in/nthiebaut/

Luc Boruta

From PhD in Computational Lingustics to CEO, Thunken

slides

Keywords

PhD:
- Computational models of early phonological acquisition
- “Psychocomputational linguistics”
- Unsupervised machine learning (fun!)
NLP @Thunken
- NLP consulting /own products
- IronSift : Strategic and competitive intelligence

Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it… Dan Ariely, Duke University

Contact

email: luc@thunken.com
LinkedIn: https://www.linkedin.com/in/lucboruta/

Stéphane Senecal

From PhD in Signal Processing to R&D engineer/scientist, Orange

slides

Keywords:

reinforcement learning
- Dynamic programming
- Temporal Differences (TD-lambda)
- Q-Learning algorithm and its extensions (SARSA, eligibility traces)
- Parametric approximation techniques (Policy Gradient, Least Squares
- Deep reinforcement learning AlphaGo Policy Iteration)
supervised learning
unsupervised learning
Markov Chain Monte Carlo (MCMC) simulation methods
network models

Opportunities for internships for MS/MEng students :

4 to 6 months duration
Schedule: application from November for the forthcoming year Opportunities for apprenticeship, PhD programs (CIFRE) and post-docs Opportunities for permanent positions: Research Engineer/Scientist