CV

Education

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

Work experience

• Spring 2024: Academic Pages Collaborator
  • Github University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

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

Publications

On volume minimization in conformal regression Permalink

Transductive conformal inference for ranking Permalink

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

Learning network Granger causality using graph prior knowledge Permalink

One-Shot Federated Conformal Prediction Permalink

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

Adaptive subsampling of multidomain signals with graph products Permalink

Learning spatial filters from EEG signals with graph signal processing methods Permalink

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation Permalink

Tensor convolutional dictionary learning with CP low-rank activations Permalink

Low rank activations for tensor-based convolutional sparse coding Permalink

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

Subsampling of multivariate time-vertex graph signals Permalink

Learning laplacian matrix from bandlimited graph signals Permalink

Apprenticeship learning for a predictive state representation of anesthesia Permalink

Talks

Tutorial on Conformal Prediction Permalink

January 24, 2025

Tutorial at Keynote (invited talk) -- The Statistical Methods for Post Genomic Data, Heidelberg, DE

One-shot federated conformal prediction Permalink

July 21, 2024

Talk at Seminar of the MARS team, Online

Marginal and training-conditional one-shot federated conformal prediction Permalink

April 25, 2024

Talk at Séminaire du Laboratoire de mathématiques d’Orsay (LMO), Orsay - FR

One-shot federated conformal prediction Permalink

July 01, 2023

Conference proceedings talk at ICML 2023, Hawai, USA

One-shot federated conformal prediction Permalink

April 20, 2023

Talk at GT Celeste - Laboratoire de mathématiques d’Orsay (LMO), Orsay - FR

Robust kernel density estimation with median-of-means principle Permalink

July 01, 2022

Conference proceedings talk at ICML 2022, Baltimore, USA

Robust kernel density estimation with median-of-means principle Permalink

June 27, 2022

Talk at Séminaire parisien de statistique, Institut Henri Poincaré (IHP), Paris, FR

Tenseurs et graphes pour l’analyse multivariée - Quelques applications Permalink

October 21, 2021

Talk at GT Celeste - Laboratoire de mathématiques d’Orsay (LMO), Orsay - FR

Teaching

Machine learning and medicine

M2 Topics in modern machine learning (part on conformal prediction)

Service and leadership

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