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Postdoctoral researcher bringing together human motion analysis, biomechanics, and machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Eastern Finland
Data Scientist
June 28, 2026 – Present
kinematics2kinetics
August 27, 2025 – Present
Python scripts and trained PyTorch models for predicting compressive knee contact force from kinematics and demographic information.
View ProjectGodosim
February 11, 2025 – December 17, 2025
Godot Engine integrating OpenSim musculoskeletal modeling software for generation of synthetic images of human kinematics
View Projectdocker-simple-website
May 2, 2024 – May 2, 2024
Minimal working example of a website with Docker
View Projectarduino-uno-tomfoolery
February 15, 2024 – February 15, 2024
Scripts from playing around with Arduino Uno
View Projectgd-reinforcement-learning-zombie-apocalypse
December 13, 2023 – December 17, 2023
Reinforcement learning competing agents implemented in Godot 4
View Projectcpp-pso-algorithm
June 5, 2023 – September 12, 2023
C++ implementation of the particle swarm optimization algorithm
View ProjectOpenSimLive
June 12, 2020 – April 5, 2023
Live inverse kinematics based on IMU orientations using OpenSim 4.1 API
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, focusing on niche areas like biomechanics simulation and reinforcement learning in game engines. While demonstrating strong technical curiosity and initiative, the breadth of projects directly applicable to a general 'Data Scientist' role in a typical business context is limited. The single professional experience listed as 'Data Scientist' at a university is current, but lacks details on responsibilities or achievements, making it difficult to fully assess alignment with a broader industry role. The candidate's experience level is listed as 0, which contradicts the current 'Data Scientist' role, suggesting a potential mismatch in self-assessment or data entry.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approach, or communication style.