M.S. in Artificial Intelligence @ Northwestern University • Dec 2025
Qixuan Wang
I build autonomous AI agent systems and vertical AI solutions for specialized industries, with a passionate focus on AI for battery technology and energy storage. Combining entrepreneurial execution with research excellence, I am applying for PhD positions to advance AI-driven innovation in energy and industry.
Research Interests
Pioneering AI innovation for battery technology and intelligent industry transformation.
AI for Battery & Energy Storage
Developing AI-powered solutions for battery R&D, SOC/SOH prediction, and intelligent energy management systems. Applying LLMs, multi-agent systems, and RAG to accelerate battery research and optimize energy storage technologies.
Autonomous AI Agents
Building fully autonomous multi-agent systems that can plan, reason, reflect, and execute complex tasks without human intervention—performing at or beyond human expert level in specialized domains.
Vertical AI for Industries
Creating domain-specific AI tools and workflows for specialized industries like battery manufacturing, leveraging proprietary knowledge that general AI cannot access, to solve real-world industrial challenges.
Technical Skills
Programming
Machine Learning
Data Analysis
Battery & Energy Storage
Experience Highlights
Developing agentic workflows for clinical data processing and utilization review.
GPA: 3.838/4.0. Focus on AI systems and research.
Optimized TTS models using diffusion and GPT-2; enhanced prosody and naturalness.
Proposed an improved single-image denoising diffusion model (SinDDM).
Developing LLM-powered vertical AI systems for battery R&D—building knowledge bases and conversational agents for technical documents, industry reports, and battery research materials to accelerate innovation.
Developed yield testing program & anomaly detection; statistical analysis.
New proof for the Law of Iterated Logarithm for Minima; published preprint.
Vision for AI's Future
My perspective on how AI will transform industries and society.
Autonomous AI Systems
AI will become increasingly autonomous. Breakthroughs in AI agents and multi-agent systems will enable AI to handle complex tasks without human intervention—planning, reasoning, reflecting, and fully automating workflows. These agents will perform as well as, if not better than, human professionals in their domains.
Vertical AI Dominance
Domain-specific AI will become critical. General AI like ChatGPT cannot solve every industry problem because it lacks access to proprietary knowledge and specialized skills within private companies. Every industry—batteries, manufacturing, healthcare—needs its own AI agents, AI employees, and AI research teams tailored to their unique challenges.
Physical AI Revolution
Embodied AI will transform daily life. Self-driving cars, humanoid robots, and physical AI systems will become commonplace—cleaning homes, operating autonomous vehicles, cooking meals, and seamlessly integrating into our physical world.
Selected Projects
Engineering driven by research and product intuition.
AI for Battery Research Agents
A full-stack multi-agent system with RAG to reason over battery papers, organize knowledge, and support decision-making.
Generative Speech (TTS)
Bark Voice Cloning: one-click training/inference + Gradio UI for rapid voice cloning. 3,000+ GitHub stars.
DoingDream AI
Founded and scaled a full-stack multimodal AI platform (DoingDream AI/TalkTalkAI): 19k+ users, 1k+ monthly paying users. 🏆 2nd Place at Midwest Chinese Entrepreneurship Competition.
Entrepreneurship & Awards
Building AI-powered products and bringing them to market.
DoingDream AI — Second Place Winner
Second Midwest Chinese Entrepreneurship Competition at Northwestern University
Founded and scaled DoingDream AI from concept to market as a full-stack multimodal AI platform offering voice cloning, conversion, and music generation services. Successfully attracted 19,000+ registered users and sustained 1,000+ monthly paying users, demonstrating exceptional product-market fit, sustainable business model, and the ability to translate cutting-edge AI research into real-world commercial success.
Entrepreneurial Impact: This venture showcases my passion for entrepreneurship—identifying market opportunities, developing scalable products, building user acquisition strategies, and leading technical execution from zero to validated product-market fit.