Nils Beham

Curriculum vitae

Education

B.Sc. Physics

Technical University of Munich (TUM), Munich, Germany. Oct 2023 – Sep 2026

  • Specialization: Applied and Engineering Physics
  • Electives: Machine Learning (Neural Networks), Scientific Programming, Condensed Matter Physics, Biophysics, Medical Technology
  • Thesis: Benchmarking and fine-tuning deep-learning binding-affinity prediction (Boltz-2) for peptide-protein interactions, extending the evaluation to graph neural network (GEMS) and protein language model (PLM)-based architectures

B.Sc. Management and Technology

Technical University of Munich (TUM), Munich, Germany. Oct 2023 – Sep 2026

  • Specialization: Computer Engineering
  • Electives: Human-AI Interaction, Cloud Software Engineering, Entrepreneurship, Law
  • Activities & Societies: TUM.ai, delivering high-impact hackathons with a top-tier team and exceptional partners all across Europe

Secondary Education

BRG Linz Fadingerstraße, Linz, Austria. Sep 2018 – Jun 2022

  • Graduated with distinction (Ausgezeichnet)
  • Major subjects: Physics, Economics, Biology
  • Extracurricular: Entrepreneurial Skills License (Unternehmerführerschein)

Experience

Data & AI Intern, Data & AI Consulting Team

PricewaterhouseCoopers, Warsaw, Poland. Aug 2024 – Oct 2024

  • Performed data analysis and structuring tasks using Python and SQL in a client-facing consulting environment
  • Applied DAX and R to support internal compliance statistics and billing reporting

Paramedic, Civil Service (Zivildienst)

Samariterbund Linz, Linz, Austria. Jul 2022 – Mar 2023

  • Performed emergency medical care under high-pressure conditions, developing resilience and composure
  • Obtained Austrian paramedic certification and maintained accurate post-call documentation throughout service

Quantum & Post-Quantum Lab

University of Applied Sciences Upper Austria, Linz, Austria. Jul 2021 – Aug 2021

  • Developed Python scripts for data analysis and numerical evaluation within an HPC-based quantum tomography project
  • Assisted with server maintenance tasks in the lab’s research computing environment

Skills & Interests

Machine Learning & AI
PyTorch, TensorFlow, deep-learning model fine-tuning and benchmarking, HPC/GPU compute environments
Programming & Systems
Python (proficient), Java (proficient), Git, Linux (Ubuntu) system administration, working knowledge of SQL, R, JavaScript, C, and Cloud Software Engineering
Languages
German (native), English (fluent)
Interests
Semi-professional track and field running, geopolitics, philosophy, history, and how innovation drives societal change