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Geoffrey CHINOT

About

PhD in Data Science/Statistics

I am a Postdoc Researcher at ETH Zurich with expertise in statistics and data-Science. After six years in academia, I am looking for new challenges in the industry. I have broad research in- terests: deep-learning, robust statistics, boosting methods, causality, random optimization, optimal transport, grap- hical models, data-privacy, fairness in machine learning.

Social Media:

Website

LinkedIn

LinkedIn

Skills

AWS

Computer Vision

Deep Learning

Java

Machine Learning

Mathematical Statistics

Microsoft Azure

MySQL

NLP

Python

Open for

fulltime

Work Experience

ETHZ

2020-09 - 2023-07

Workplace
Postdoctoral researcher
Location

Zürich

Employement type

fulltime

Postdoctoral researcher at the department of statistics at ETH Zurich. Subjects : Boosting methods, robust statistics, theory of neural networks, NLP, high dimensional statistics, non-parametric statistics, causality, optimisation, data privacy, fairness. IT : Python (Pytorch, Tensorflow, Scikitlearn, XGBoost, LightGBM, CATBoost) R, SQL, AWSPostdoctoral researcher at the department of statistics at ETH Zurich. Subjects : Boosting methods, robust statistics, theory of neural networks, NLP, high dimensional statistics, non-parametric statistics, causality, optimisation, data privacy, fairness. IT : Python (Pytorch, Tensorflow, Scikitlearn, XGBoost, LightGBM, CATBoost) R, SQL, AWS Skills: Deep Learning · Natural Language Processing (NLP) · Computer Vision · Microsoft Azure · Amazon Web Services · TensorFlow · PyTorch · mathematics · machine learning · Python · R