CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks Permalink

Learning laplacian matrix from bandlimited graph signals Permalink

Learning the piece-wise constant graph structure of a varying Ising model Permalink

Event detection and structure inference for graph vectors Permalink

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation Permalink

Robust Kernel Density Estimation with Median-of-Means principle Permalink

Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data Permalink

One-Shot Federated Conformal Prediction Permalink

Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles Permalink

Marginal and Training-Conditional Guarantees in One-Shot Federated Conformal Prediction Permalink

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm Permalink

Talks

Machine learning techniques for geolocating Sigfox devices Permalink

September 01, 2016

Talk at LTCI lab seminar, Telecom Paris, France

Node-level anomaly detection in communication networks Permalink

January 01, 2018

Talk at MLMDA seminar, Cachan, France

Node-level anomaly detection in communication networks Permalink

June 08, 2018

Poster at Graph Signal Processing workshop (GSP), Lausanne, Switzerland

Learning Laplacian Matrix from Bandlimited Graph Signals Permalink

March 01, 2019

talk at MLMDA seminar, Cachan, France

A Probabilistic framework to Node-level Anomaly Detection in Communication Networks. Permalink

May 01, 2019

Talk at IEEE International Conference on Computer Communications (INFOCOM), Paris, France

Change-point detection in a time-varying Ising model Permalink

June 24, 2020

talk at French-German Summer School on Transfer Learning, Online

Learning the piece-wise constant graph structure of a varying Ising model Permalink

July 12, 2020

talk at International Conference on Machine Learning (ICML), Online

Event detection and structure inference for graph vectors Permalink

January 29, 2021

talk at Ph.D defense, Online

Contributions to graph learning and change point detection Permalink

January 13, 2022

talk at Magnet seminar, Lille

Refined Convergence and Topology Learning for Decentralized Optimization with Heterogeneous Data Permalink

July 07, 2022

talk at CAp 2022, Vannes

Robust Kernel Density Estimation with Median-of-Means principle Permalink

July 19, 2022

talk at ICML 2022, Baltimore, USA

Teaching

Data analysis in Python

Introduction to Statistical Learning

Statistics

Service and leadership

• Currently signed in to 43 different slack teams