Applied ML Scientist and Data Scientist

XINXING WU, PH.D.

Applied Scientist AI Data Scientist Machine Learning Engineer (Authorized to work in USA) GitHub — https://github.com/xinxingwu-uk HomePage — https://xinxingwu.github.io Phone: 617-***-**** Lexington, KY (Open to relocate) E-mail: *********@*****.*** Developed and open-sourced ML algorithms (NeurIPS/AAAI/IJCAI) adopted in multiple applied analytics pipelines; Expert in feature selection, deep learning, GNNs, survival analysis, algorithmic stability, LLM finetune. Building reproducible Python pipelines and dashboards end-to-end that drive decisions. Strong in problem scoping, modeling, evaluation, and clear stakeholder communication. TECHNICAL SKILLS

· ML & Stats: feature selection, deep learning, GNNs, survival analysis, algorithmic stability, anomaly detection, ensemble learning, multimodal learning, model design and evaluation, LLM Finetuning, etc.

· Data & Visualization: Pandas, NumPy, Matplotlib, Seaborn; dashboards (Plotly/Streamlit), SQL.

· Libraries: TensorFlow/Keras/PyTorch, Scikit-learn, Transformers, SciPy, Scrapy, Gradio, etc.

· Programming: Python, R, Java, C#, Ruby; React/React native; PHP, JavaScript, etc.

· Workflow: GitHub, JupyterLab/PyCharm, Power BI/Tableau, Linux, GPU training (TACC; Colab)

· Certifications: Red Hat Certified Engineer (RHCE); Red Hat Certified System Administrator (RHCEA) SELECTED PROJECTS - OPEN SOURCE

· FAE - Fractal Autoencoders for Feature Selection (AAAI’21)· Tensorflow+Keras: Repo

· UFS - Stability & Generalization for Unsupervised Feature Selection (NeurIPS’21). Repo

· DGAE - Deep Graph Neural Network for Link Prediction (IJCAI’22). Repo

· AD Survival - DeepSurv pipeline for clinical survival analysis. scikit-learn: Repo

· SSVA - Singing Syllabi with virtual avatars (2025). LLMs: Repo JS Projects - Repo EXPERIENCE

External Experts Program at Amazon MTurk (Part-time), 2025 - Present Designed challenging math/analysis tasks to probe LLM reasoning; created rubrics and analyzed failure modes; suggested model improvements.

Assistant Professor at Midway University, Kentucky, United States, 2023 - 2025 Conducted applied research translating to open-source repositories and classroom adoption, such as Singing Syllabi with virtual avatars. Designed and delivered practice-oriented ML projects. Principal Investigator at Shanghai Threebio Technology Co., Ltd. (Part-time), Shanghai, China, 2016 - 2018

Build demand-forecasting and statistical computing pipelines from historical purchase data; delivered actionable insights to product.

Senior Algorithm Engineer at Shanghai Advanced Research Institute of CAS, Shanghai, China, 2012 - 2013

Implemented high-throughput algorithms on many-core (Tilera); optimized data-parallel performance in Python/C-adjacent environments

Algorithm Developer at Shanghai Alcatel Network Support Systems Co., Ltd., Shanghai, China, 2011 - 2012

Developed analytics features using Java/SQL; collaborated with platform engineers to integrate algo- rithms into production services

EDUCATION

· Postdoctoral Scholar, ML & Data Analysis - University of Kentucky, United States, 2019 - 2022

· Visiting Researcher, ML - Boston University, United States, 2018 - 2019

· Ph.D., Computer Applications Technology - East China Normal University, China, 2007 - 2011

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