Résumé

Portrait of Per Lundhammar

Per Lundhammar

Email: per.lundhammar@gmail.com

Phone: +46 730 77 83 17

LinkedIn · GitHub

Work Experience

Doctoral Researcher (Medical Imaging Physics) — KTH Royal Institute of Technology

– Present
  • Developed models of photon–silicon interactions using maximum-likelihood methods, machine learning, and physics-informed neural networks (PINNs).
  • Built a Monte Carlo simulation pipeline in GEANT4 with ROOT-based data processing to generate synthetic datasets.
  • Presented results at IEEE NSS/MIC/RTSD 2024 (Florida), Fully 3D 2025 (Shanghai), and IEEE NSS/MIC/RTSD 2025 (Yokohama).
  • Teaching (Oct 2025 – Jan 2026): Modern Physics (SH1014), labs and supervision.

Sabbatical

–
  • Sabbatical prior to doctoral studies.

Data/BI Consultant — Random Forest

–
  • Built data pipelines in SQL and Python for forecasting time-series data.
  • Developed interactive dashboards in Power BI for data visualization and reporting.

Teaching Assistant (part-time) — KTH Royal Institute of Technology

–

Supplemental teaching related to the following courses:

  • Calculus in Several Variables (SF1626), 2021.
  • Perspectives on Mathematics (SF1661), 2020.
  • Introductory Course in Mathematics (SF0003), 2020.
  • Calculus in Several Variables (SF1626), 2020.
  • Linear Algebra (SF1672), 2019.
  • Introductory Course in Mathematics (SF0003), 2019.
  • Calculus in One Variable (SF1625), 2018.
  • Introductory Course in Mathematics (SF0003), 2018.

Education

KTH Royal Institute of Technology

Degree program in Engineering Physics (300 ECTS credits).
  • Master of Science in Theoretical Physics.
  • Bachelor of Science in Engineering Physics.

Skills

Tools

  • Python; MATLAB; SQL; Git; Linux/Bash.

Languages

  • Swedish, English.

Publications

Journal papers

Nonrelativistic model of tetraquarks and predictions for their masses from fits to charmed and bottom meson data

Per Lundhammar, Tommy Ohlsson

2020

Phys. Rev. D 102, 054018
DOI: https://doi.org/10.1103/PhysRevD.102.054018

Conference papers

Probabilistic modeling of an event-based silicon detector

Per Lundhammar, Luca Terenzi, Mats Danielsson, Mats Persson

2025

Proceedings of the 18th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine
https://hqlab.sjtu.edu.cn/fully3d-2025/home

Basis Image Filtering Enables Subpixel Resolution in Photon-Counting CT

Luca Terenzi, Per Lundhammar, Mats Persson

2023

Proceedings of the 17th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, pp. 390–393
https://arxiv.org/abs/2310.16846

Merits

Best Poster Award

2025

Awarded Best Poster at the 18th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, Shanghai.

Certified Azure Data Engineer

2023

Passed Microsoft certification DP-203: Data Engineering on Microsoft Azure.

Exchange Semester

2021

Elected for exchange studies at the School of Mathematics, Trinity College Dublin.

Research Exchange Program

2019

Participated in a summer research exchange at Zhejiang University (Hangzhou) as part of the course Modern Physics (SH1012), investigating properties of a micro-ring resonator.

Scholarships

  • Stiftelsen Styffe, 2025 (34.2 kSEK)
  • Stiftelsen Ingenjör Ernst Johnsson, 2022 (30.0 kSEK)
  • Håkanssons stiftelse, 2021 (10.0 kSEK)
  • Henrik Göranssons Sandviken stipendiefond, 2021 (38.0 kSEK)
  • Stiftelsen Ingenjör Ernst Johnsson, 2021 (20.0 kSEK)
  • Stiftelsen Ingenjör Ernst Johnsson, 2020 (30.0 kSEK)