Postdoctorial researcher in applied and engineering physics at Cornell. Interested in nonlinear multimode optics, numerical computing, and deep learning.
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Cornell
Data Scientist
June 25, 2026 – Present
myungjoon.github.io
November 10, 2025 – November 10, 2025
myungjoon.github.io — GitHub repository
View Projectimage-finetuners
November 4, 2025 – November 5, 2025
image-finetuners — GitHub repository
View ProjectSGCNN
December 4, 2018 – October 6, 2020
Slab graph convolutional neural networks for predicting surface-related material properties
View ProjectHolography
November 1, 2017 – April 16, 2020
Implementation of discrete version of GS-algorithm for metasurface holography
View ProjectGDL
October 31, 2017 – October 31, 2017
Python implementation of graph degree linkage clustering
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, which aligns with roles requiring deep technical investigation and problem-solving. However, the lack of team-based projects or diverse industry applications makes it difficult to fully assess cultural fit for a collaborative, product-focused environment. The single listed experience at 'Cornell' as a 'Data Scientist' starting in the future (2026) is unusual and lacks detail, making it hard to evaluate real-world experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.