Tristan Kirscher

PhD Candidate in AI | Dual Engineering Degree

Passionate about leveraging mathematical tools and AI to innovate in medical imaging, with a focus on uncertainty quantification in radiotherapy. I hold a Dual Engineering Degree and, as a teaching assistant, I deliver courses on Machine Learning, Object Oriented Programming (C++), and Database.

Experience and background

Current Position

ICUBE IMAGeS ICANS Strasbourg

PhD Candidate

ICUBE Laboratory & ICANS Strasbourg
October 2024 - Present

I am pursuing my PhD in AI as part of a collaborative effort between the IMAGeS team at the ICUBE laboratory and ICANS Strasbourg, focusing on uncertainty quantification in medical imaging and radiotherapy. Additionally, I serve as a Teaching Assistant at the University of Strasbourg, delivering courses on Machine Learning, Object Oriented Programming (C++), and Database.

Past Experience

SYSNAV

Computer Vision Research Engineer

SYSNAV (Paris, FRA)
October 2023 - September 2024 (1 year)

Developed computer vision solutions for the autonomous vehicle team.

  • Deep Learning
  • Machine Learning, Digital Image Processing
  • Multiple View Geometry
  • C++, Python

Algorithm Engineer

SYSNAV (Vernon, FRA)
June 2023 - September 2023 (4 months)

Implemented and improved algorithms within the PLD (Personal Location Device) team.

  • Statistical data analysis (Python)
  • Signal Processing
  • git, GitLab
Daimler Truck AG

Data Scientist

Daimler Truck AG (Wörth-am-Rhein, GER)
May 2022 - August 2022 (4 months)

Led a Predictive Quality Use Case within the Quality and Advanced Analytics team.

  • Data analysis (SQL, Python)
  • Designing ML algorithms and statistical tests
  • Implementing CRISP-DM process
  • Agile Project Management, SCRUM
  • Working with MS Azure and Databricks

Academic Background

Find details about my academic background below.

ENSAE Paris

2022 - 2024

Engineering Master's Degree in Economics and Statistics

ENSAE
  • High Dimensional Statistics
  • Advanced Machine Learning
  • Advanced Optimization
  • Deep Learning
  • Optimal Transport
  • Simulation and Monte Carlo methods
  • GPU Programming
  • Compressed Sensing

École des Mines de Saint-Étienne

2020 - 2023

Ingénieur Civil des Mines - Master's Degree in Science and Executive Engineering

Mines de Saint-Étienne
  • Mathematics: Data Science, Big Data, Numerical Analysis, Operations Research
  • Computer Science: Information Systems, Object-Oriented Programming, Network Programming
  • Physics: Fluid Mechanics, Thermodynamics, Continuum Mechanics, Solid-state Physics
  • Economic Sciences and Business Administration
  • Climate and Environment, Sustainable Development and CSR

Karlsruher Institut für Technologie (KIT)

September 2021 - March 2022

Semester abroad - Master courses

KIT
  • Machine Learning
  • Knowledge Discovery
  • Applied Econometrics
  • Risk Management in Industrial Supply Network
  • Financial Accounting for Global Firms
  • Project Management

Skills

Find below some of my practical skills and core competencies.

Languages

  • English - Full Professional
  • German - Full Professional
  • French - Native

Technical Skills

  • Data Science (Python, SQL, R)
  • Programming (Java, C, C++)
  • ML Frameworks (sklearn, PyTorch)
  • Network (Protocols and Interfaces)
  • git, GitLab, GitHub
  • Linux, Bash

Strengths

  • Perseverance
  • Communication
  • Teamwork
  • Willingness to Learn

More

Hobbies and Interests

Climbing
Ski
Sailing

Sports

3000m steeple I exercise a lot in my spare time, focusing on running (especially middle distance) to improve my personal bests.

I also enjoy cycling, swimming, skiing, tennis, and various other sports with friends and family.

Other Interests

  • Wearable Technologies
  • Industry 4.0 - MedTech
  • Green IT
  • Security

Contact

Need additional information or a project to suggest?

Do not hesitate to contact me! I will get back to you as soon as possible.