About me¶
You want to see my face?.... OK let's run this code:
!pip install opencv-python
Requirement already satisfied: opencv-python in /opt/conda/lib/python3.13/site-packages (4.12.0.88) Requirement already satisfied: numpy<2.3.0,>=2 in /opt/conda/lib/python3.13/site-packages (from opencv-python) (2.2.6)
import cv2
import matplotlib.pyplot as plt
img = cv2.imread('./images/profile.jpg')
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
plt.imshow(img)
plt.show()
Ah... you want to read my profile?... OK, let's read my profile text...
from IPython.display import display, HTML
with open('./files/profile.txt') as f:
profile = f.read()
display(HTML(profile))
Yosuke Tsuchiya
Fab Lab Kamakura — Fab Academy Instructor
I graduated from Fab Academy in 2019 at Fab Lab Kamakura.(Rico and Kae Nagano were my classmates.) Since the 2020 cycle, I have been working as a local instructor for Fab Academy at Fab Lab Kamakura.
Currently, I work as a system engineer at a museum in Tokyo, the Artizon Museum, founded in 1953 as the Bridgestone Museum of Art, it was fully renewed and reopened in 2020. At the museum, I develop digital archive systems for artworks and primary historical resources, and I also manage the development of the museum website and the smartphone audio-guide application.
I hold a Ph.D. in Data Science from Musashino University, Graduate School of Data Science.My doctoral research focuses on how museum open data—such as artwork metadata—can enhance creativity and deepen our experience of viewing, feeling, and understanding works of art.
I am particularly interested in how data science can be applied to local Fab Lab activities and how it can be integrated with digital fabrication practices. What is intriguing is that “Data Science” has re-emerged as a next-generation skill within the Fab Lab community network, a global ecosystem grounded in making almost anything. I want to take this class to explore how Fab Labs and Data Science can work together to address real-world problems. That is why I decided to enroll.
Hobby
- Photography
- Programming
Links: