SGS doctoral scholar @ Shanghai Jiao Tong University | Computer Scientist | Computational Physics | Computational Chemistry | Complex Networks
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Shanghai Jiao Tong University
Data Scientist
June 23, 2026 – Present
pibert
September 8, 2025 – Present
PIBERT (Physics-Informed BERT-style Transformer) is a novel framework for solving multiscale partial differential equations (PDEs) that integrates hybrid spectral embeddings (combining Fourier and Wavelet approaches), physics-biased attention mechanisms, and self-supervised pretraining.
View ProjectBioGraphVAE
August 22, 2025 – Present
"BioGraphVAE: A Bio-inspired Autoencoder for Structured Data Reconstruction." BioGraphVAE is a lightweight extension of GraphVAE with a biologically inspired funnel attention mechanism that re-weights latent representations to achieve better reconstruction fidelity, smoothness, and diversity.
View ProjectATM_Software_Service_System
August 24, 2022 – August 26, 2022
Java EE version of an ATM service system
View ProjectBreadKrumbs
January 3, 2022 – January 13, 2022
Simple react js based note-keeping application
View ProjectHacktoberfest2021GoodFirstIssues
September 30, 2021 – February 1, 2024
For Hactoberfest 2021
View ProjectHive-TSP
February 17, 2020 – March 8, 2020
Approaching the Travelling Salesman Problem using Hive(Beehive) simulations.
View Projects-atmech
December 27, 2019 – October 1, 2020
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (Supports all Models both Luong and Bhanadau).
View Projectdistance-between-nearest-points-DBSCAN
October 14, 2019 – October 14, 2019
distance-between-nearest-points-DBSCAN — repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research-oriented and open-source contributions, which could indicate a collaborative and innovative mindset. However, the current experience level (0) and the listed 'Data Scientist' role starting in 2026 suggest a very early career stage or future commitment, which might not align with immediate senior-level expectations. The diversity of projects across different domains (physics, biology, general ML) suggests adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.