
Researcher, interested in Computational Biology, and 3D Computer Vision.
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Assessing your cultural and operational fit
Tsinghua University
Data Scientist
June 19, 2026 – Present
alphafold
July 17, 2021 – November 17, 2021
Install alphafold on the local machine, get out of docker.
View ProjectLinear-Multihead-Attention
June 22, 2020 – June 23, 2020
Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
View ProjectPrismNet
May 3, 2020 – March 3, 2024
Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure
View Projectkitti_object_vis
June 28, 2018 – February 4, 2022
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
View ProjectVRmol
June 4, 2018 – December 24, 2020
VRmol: an Integrative Web-Based Virtual Reality System to Explore Macromolecular Structure
View Projectpytorch_online_plotter
December 20, 2017 – April 5, 2018
Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix
View Project3ddensenet.torch
August 17, 2017 – October 19, 2017
3D DenseNet(torch version) for ModelNet40 dataset
View Projectawesome-cryoem
July 21, 2016 – January 25, 2021
A collaborative list of awesome CryoEM (Cryo Electron Microscopy) resources.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong interest in cutting-edge research areas like CryoEM, AlphaFold, and advanced deep learning architectures, indicating a proactive and curious mindset. The diversity of projects suggests an ability to explore different domains within data science. However, without more detailed descriptions or team-based projects, it's difficult to fully assess cultural fit beyond technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is listed as 0, but they have a current 'Data Scientist' role at Tsinghua University, which is contradictory. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.