I am a passionate engineer studying at the University of Oxford, where I am delving into the fascinating world of artificial intelligence and quantitative trading. With a strong commitment to innovation, I thrive on tackling complex challenges and developing impactful solutions that shape the future.

OmniAns is an AI-powered research assistant that provides deep insights and support in academic research. It excels in reading comprehension and writing, making it an invaluable tool for researchers striving for excellence.

A4ML introduces a text-to-model (T2M) paradigm, transforming plain text into machine learning models. This project aims to simplify model creation, making it accessible to users regardless of their technical background.

The Startup Success Forecasting Framework (SSFF) is focused on developing a robust framework for predicting startup success based on various data-driven parameters. It provides valuable insights to entrepreneurs and investors, guiding them toward better decision-making.

The RD-Agent project is dedicated to creating a multi-agent system that enhances the research and development process by automating key tasks. This initiative facilitates efficient collaboration among researchers, driving innovation forward.

I am excited about the future of AI and its potential to revolutionize industries. If you're interested in collaborating, discussing ideas, or sharing insights, feel free to connect with me!

• 📫 How to reach me: linkedin.com/in/xisen-wang
• 💬 Ask me about: AI, quantitative trading, engineering projects, or anything else that sparks curiosity!

Together, let's explore the possibilities that technology can bring to our world!