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I'm a PhD student at BUPT, with research interest in time series analysis and genomic foundation model. Feel free to contact me for discussions!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BUPT
Data Scientist
June 28, 2026 – Present
TinyDNABERT
July 21, 2025 – July 23, 2025
A lightweight genomic language model built from scratch, employing a BPE tokenizer and a RoBERTa architecture.
View ProjectAwesome-Multimodal-Time-Series
November 12, 2024 – August 27, 2025
A curated list of paper, code, data, and other resources focus on multimodal time series analysis.
View ProjectChatTime
July 7, 2024 – Present
PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [oral])
View ProjectMCAKE
April 23, 2024 – Present
PyTorch implementation of "MCAKE: Memory-Augmented Autoencoder with Contrastive Learning for Unsupervised Anomaly Detection" (TKDD 2025)
View ProjectGLAFF
April 19, 2024 – Present
PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)
View ProjectD3R
October 7, 2023 – July 15, 2025
PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on academic research implementations in time series and anomaly detection, which aligns well with a research-focused Data Scientist role. However, the lack of diverse project types (e.g., production systems, collaborative projects, business-oriented solutions) suggests a potentially narrow scope of experience for broader industry roles. The single listed work experience is current and lacks details, making it difficult to assess cultural fit beyond academic alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a strong focus on individual research and implementation.