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Tohoku University
Data Scientist
June 29, 2026 – Present
CNNAE_Practice
February 9, 2025 – July 7, 2025
A sample code for Fukagata and Fukami (2025).
View ProjectObservable-AE
August 11, 2023 – November 6, 2024
Sample codes for observable-augmented autoencoder by Fukami and Taira (Nature Communications, 2023)
View ProjectMLTG_PRFluids2019
February 23, 2021 – February 23, 2021
Sample code for machine learning based inflow turbulence generator by Fukami et al. (PRFluids, 2019)
View ProjectCNN-SINDy-MLROM
February 8, 2021 – September 6, 2021
Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.
View ProjectML-ROM_turbulent_flow
January 27, 2021 – February 27, 2021
This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow"
View ProjectVoronoi-CNN
January 3, 2021 – August 11, 2023
Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 2021)
View ProjectGrad-CAM_for_fluid-flows
December 25, 2020 – November 29, 2022
Grad-CAM_for_fluid-flows — GitHub repository
View ProjectML-ROM_Various_Shapes
September 8, 2020 – May 14, 2021
This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes"
View ProjectProbabilistic_ML_Fluids
May 6, 2020 – September 19, 2020
Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"
View ProjectCultural Fit Analysis
The candidate's profile shows a strong academic and research focus, primarily in fluid dynamics and machine learning. While this demonstrates deep technical expertise in a niche area, the lack of diverse project types (e.g., industry applications, team projects, different domains) and limited explicit work experience makes it challenging to fully assess cultural fit for a broader 'Data Scientist' role outside of a research environment. The projects are all personal and highly specialized.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's experience is heavily focused on research-oriented personal projects, making it difficult to infer collaboration, communication, or problem-solving in a team or business context.