You can download a extended version of my CV here.

Education

PhD in Computer Sciences
Inria
University of Bordeaux
2019 - 2023

Manuscript: Towards Sociol Autotelic Artificial Agents - Formation and Exploitation of Cultural Conventions in Autonomous Embodied Artificial Agents

Supervisors: Pierre-Yves Oudeyer and Clément Moulin-Frier

Jury: John Langford (Mircosoft Research), Noah Goodman (Stanford), Andrew Lampineen (Google Deepmind), Stefano Palminteri (ENS), Xavier Hinaut (Inria)

MSc in Machine Learning
ISAE-Supaero
Toulouse, France
2016-2018

Major: Maching Learning

Minor: Autonomous Systems & Robotics

MSc in Mechanical Engineering
EPFL
Lausanne, Switzerland
2015-2016

Major: Computational Fluids Dynamics

Experience in industry

Machine Learning Engineer
PNB Paribas Innovation Lab
New York, USA
06/2018 - 05/2019

Natural Language Processing (NLP) for clause extraction and question answering in legal documents, benchmarking of both pre-trained and legal specific word representations for text classification and question answering tasks.
Computer Vision for Semantic Segmentation of PDFs (implementation of a Fully Convolitional Neural Network).

Teaching and Research Experience

Lecturer
University of Bordeaux.
Bordeaux, France
Fall semester 2020

In charge of Introduction to Programming in Python (4TPM101U) and Development of Pyhton Applications (4TPM110U).

Reinforcement Learning Intern
Supaero RL Initiative (SuReLI)
Toulouse, France
2016 - 2017

Reinforcement Learning applied to control the wing sail of an autonomous sailboat (stall avoidance and control of systems with hysteresis).

Teaching Assistant
EPFL
Lausanne, Switzerland
Fall 2012 and Spring 2016

In Charge of Analyitcs II as well as Physics II.

Academic Services

Organizer
  • Organizer of the Second Edition of the Language and Reinforcement Learning Workshop (Larel 2) at NeurIPS in New Orleans (USA). [Website]
  • 2022
  • Mentor at HackMIT in Cambridge, Massachusetts (USA)
  • 2018
    Reviewer
  • ICML main conference (reviewed 4 papers)
  • 2023
  • NeurIPS main conference (reviewed 6 papers)
  • 2022
  • Reviewer for ICLR workshop SSL-RL (reviewed 2 papers)
  • 2021
    Awards

    PhD Fellowship
    Co-funded by INRIA and DGA (Direction Général de l’Armement, FR). 59k€ each.
    2019
    Airbus Defense and Space Hackathon
    Runner up, Terrain classification in satellite images using computer vision.
    2018
    Double Degree Swiss-European Mobility Program EPFL
    10 000 CHF (acceptance rate below 3%)
    2016
    Programming Skills
    General
    Python, Java and C++
    Auto-diff.
    Pytorch, Tensorflow
    HPC
    Bash, Slurm
    Web
    HTML, CSS, JavaScript
    Contact Info
    03/11/1994
    Tristan Karch
    +33 625273597
    Hobbies

    In my free time, I love to play music (saxophone and guitar), watch football games with friends and ride my bike in the city. Sportwise I snowboard during winter and occasionally surf during summer.