Postdoctoral Researcher at IDEAL Lab, ETH Zurich

I am a Postdoctoral Researcher at the Intelligence for Design, Engineering, And Learning (IDEAL) Lab at ETH Zurich, working under the supervision of Prof. Dr. Mark Fuge. My research focuses on leveraging Large Language Models (LLMs) to enable autonomous artificial agents for iterative engineering design tasks.

Research Focus

Current Work at IDEAL Lab

My current research explores the intersection of artificial intelligence and engineering design, specifically:

  • LLM Fine-tuning for engineering domain expertise
  • Multi-agent frameworks for structured design processes
  • Generative 3D modeling using AI
  • Multi-objective optimization in design spaces
  • Autonomous design agents for iterative engineering tasks

Doctoral Research (2020-2024)

I completed my Ph.D. at the Laboratory for Applied Mechanical Design (LAMD) under Prof. Dr. Jürg Schiffmann at EPFL. My doctoral work focused on:

  • Multidisciplinary, robust design methodologies
  • Surrogate model-assisted optimization
  • Ensemble neural networks and evolutionary algorithms
  • Applications in gas-bearing supported turbocompressors for:
    • Heat pumps
    • Fuel cells

Academic Background

2024

Ph.D. in Mechanical Engineering

EPFL

2020

M.Sc. in Mechanical Engineering

EPFL

2017

B.Sc. in Mechanical Engineering

EPFL

Student Projects & Mentoring

I mentor students working on projects that build upon my research methods:

Python CAD workflows improvement
LLM design copilots development
AI-driven optimization agents creation
Engineering design cycle acceleration
Robust system performance optimization

Research Impact

My work aims to automate the entire engineering pipeline—transforming concepts into manufacturable multi-component, multi-system designs. This spans from initial concept generation through to final optimization, with a focus on:

Multi-component system design

and workflow optimization

AI-assisted engineering

processes for complex systems

Robust design methodologies

for integrated systems

Multi-physics optimization

across system boundaries

I'm passionate about advancing the field of AI-assisted engineering design and creating tools that can accelerate the design process for complex multi-component systems while maintaining high performance standards.