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Assistant professor in theoretical quantum materials at Aalto University
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Aalto University
Data Scientist
June 19, 2026 – Present
Advanced_Quantum_Materials_2025
February 25, 2025 – June 20, 2025
Teaching material for the course Advanced Quantum Materials at Aalto University
View ProjectAdvanced_Computational_Methods_Physics_2024
October 20, 2024 – October 15, 2025
Jupyter-notebooks for the course Advanced Computational Methods in Physics 2024: Quantum many-body and tensor networks (Aalto University)
View ProjectSolidStatePhysics2024
March 1, 2024 – March 22, 2025
Interactive exercises for Solid State Physics course at Aalto University (2024)
View Projectjyvaskyla_summer_school_2022
June 26, 2022 – August 13, 2022
Exercises for the Jyväskylä summer school 2022
View Projectquantum-lattice
July 28, 2021 – Present
User-friendly open-source software to design and solve tight-binding models, addressing electronic properties, topology, interactions, non-collinear magnetism, and unconventional superconductivity, among others.
View Projectpyqula
July 28, 2021 – Present
Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.
View Projectqutranpy
August 13, 2018 – August 14, 2018
User interface to perform quantum transport calculations with non equilibrium Green's functions
View Projectdmrgpy
July 13, 2018 – Present
DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be performed both with DMRG and exact diagonalization for small systems, which allows one to benchmark the results.
View Projectpygra
April 11, 2016 – August 31, 2021
Python library to compute different properties of tight binding models
View Projectquantum-honeycomp
January 27, 2016 – August 6, 2021
Package to perform tight binding calculation in tight binding models, with a friendly user interface
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic research within quantum physics, which may indicate a strong fit for research-oriented data science roles. However, the lack of diversity in project domains (e.g., business analytics, machine learning applications outside of physics, cloud platforms) suggests a potentially narrow scope of experience for broader data scientist roles. The single listed experience as 'Data Scientist' at Aalto University, with a future start date, provides limited insight into practical industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects suggest a strong focus on independent research and development, but team collaboration and communication skills are not explicitly demonstrated.