CV
Education
Northwestern University | Evanston, USA
Master of Science in Artificial Intelligence | Sep 2024 – Dec 2025
GPA: 3.838/4.0
Duke Kunshan University | Kunshan, China
Bachelor of Science (BS) in Applied Mathematics and Computational Sciences | Aug 2020 – May 2024
Combined Cumulative GPA: 3.64/4.0 (Dean’s List: Fall 2020, Fall 2023)
Duke University | Durham, USA
Dual-Degree Study | BS in Applied Mathematics and Computational Sciences | Jan 2023 – May 2023
GPA: 4.0/4.0 (Dean’s List with Distinction: Spring 2023)
Internship Experience
Latitude Health | San Francisco, USA
AI Engineer Intern | June 2025 – September 2025
- Contributed to the backend development of an AI-powered clinical platform.
- Developed and integrated AI agents within agentic workflows to automate clinical data processing and enable intelligent, end-to-end utilization review support.
Xiaomi AI Lab | Beijing, China
Deep Learning Engineer Intern | June 2024 – Aug 2024
- Optimized model training by tuning hyperparameters, learning rate scheduling, etc.
- Trained and deployed a text-to-speech (TTS) model for Xiaomi’s voice assistant, utilizing diffusion models for speech synthesis and GPT-2 for linguistic modeling.
- Fine-tuned the GPT-2 model on a large-scale speech dataset, enhancing speaker similarity, prosody, and naturalness of generated speech.
Innoscience IT Department | Suzhou, China
Software Engineer Intern | July 2022 – Aug 2022
- Developed a Python program for yield testing and anomaly detection.
- Analyzed product yield data using descriptive statistics, hypothesis testing, and regression analysis, providing actionable insights to optimize manufacturing processes and improve product quality.
Luoyang Energy Storage and Power Conversion System Co., Ltd. | Luoyang, China
AI Research Intern | Winter Breaks since 2022
- Applied LLMs and AI agents to support internal research in the battery domain.
- Designed LLM-powered knowledge base and conversational systems to organize and query technical documents, industry reports, and battery research materials, improving R&D efficiency and technology roadmap analysis.
Publications
- Italo Simonelli and Qixuan Wang. “An Elementary Proof of the Law of Iterated Logarithm for Minima and New Extensions of the Borel-Cantelli Lemma.” 2022. Submitted to a journal and currently under review. Listed on SSRN’s Top Ten download list for Probability & Statistics eJournal.
Machine Learning Projects
Bark Voice Cloning
- Built an all-in-one TTS toolkit that unifies multiple mainstream models into one-click training and inference scripts with an easy-to-use Gradio UI for rapid voice cloning across English and Chinese speech.
- Received over 3,000 stars on GitHub; one of the Top 20 applications (sorted by trending) on Hugging Face.
- Interviewed by South Reviews and Himalaya.
AI Battery Research Agents
- Developed a full-stack multi-agent AI system that simulates a battery research engineering team, integrating RAG-based knowledge access to support reasoning, literature analysis, and decision-making over battery papers.
DoingDream AI (Entrepreneurship)
- Founded DoingDream AI, an all-in-one platform offering multimodal AI services including voice cloning, conversion, and music generation.
- Built the platform full-stack, rapidly attracted over 19k registered users and over 1k monthly paying users.
- Won second place at the 2nd Midwest Chinese Entrepreneurship Competition at Northwestern University.
Research Experience
Diffusion Probabilistic Models | Durham, USA
Supervised by Prof. Jian-Guo Liu (Duke University) | May 2023 – Dec 2023
- Adopted the input perturbation method to the single image generation and proposed an improved version of the single image denoising diffusion model (SinDDM).
- Achieved better generated image quality compared to the original method.
The Borel-Cantelli Lemma and the Growth Rate of Partial Maxima | Kunshan, China
Supervised by Prof. Italo Simonelli | Oct 2021 – June 2022
- Presented a new, simple proof of the law of iterated logarithm for minima of uniform random variables.
- Published a preprint on SSRN.
Skills
- Programming: Python, R, Java, Julia, LaTeX, Markdown, Mathematica
- Machine Learning: PyTorch, TensorFlow, SciPy, Gradio, AWS, Azure
- Data Analysis: Pandas, NumPy, Matplotlib, SQL
- Domain: Battery technology (Li-ion fundamentals, SOC/SOH prediction)
Teaching Experience
Tutor in Real Analysis (MATH 308) Spring 2023 Tutor in Probability and Statistics (MATH 206) Spring 2023, Fall 2023, Spring 2024 Tutor in Probability and Statistics (MATH 205) Spring 2022, Fall 2022, Spring 2023, Fall 2023 Tutor in Calculus (MATH 105) Fall 2023, Spring 2024 Tutor in Introduction to Applied Statistical Methods (STATS 101) Spring 2022
Leadership & Service
- Director of Events Department, Northwestern Innovation Hub
- Founder, United Platform (sponsored by DKU Innovation Incubator)
- Vice President, DKU Soccer Association