Founder
Sherry Wang
Sherry Wang · Founder of Life Exchange · Communication × Data Science @ Renmin University of China
Life Exchange starts from one question: can growth, decisions, and direction be modeled with more clarity? I am building toward an AI growth partner that helps people see themselves, understand change, and organize long-term choices without outsourcing agency.
I study communication at Renmin University of China, but I spend just as much time inside AI systems, data analysis, and product architecture. I care less about technical spectacle than whether a system helps people understand problems, organize choices, and grow over time.
Over the last few years I have worked across public discourse research, LLM-driven vulnerability discovery, multi-agent social simulation, legal compliance tooling, and agent evaluation. Life Exchange is where I reorganize those experiences into a longer product and methodological arc.
Why This Product
- The wedge is growth modeling, memory structure, and decision support rather than generic productivity software.
- My edge comes from compressing communication research, data analysis, agent evaluation, and real workflow AI delivery into one product question.
- Public materials now include the site, flagship project page, open-source repo, and portfolio PDF.
- The long-term ambition is a software surface that helps people become clearer, not simply faster.
Current Validation
- The public thesis, investor-readable homepage, flagship product page, and portfolio materials are already live.
- Adjacent applied AI work provides external proof: a 33% benchmark lift, a 0.3 rumor-spread reduction, and one real zero-day contribution.
- The next milestone is a clearer prototype that connects content, memory, evaluation, and growth modeling into one product surface.
Education
B.A. in Communication, School of Journalism, Renmin University of China (Sep 2023 – Jun 2027), GPA 3.76/4.00.
Coursework spans communication research methods, digital communication technology, introduction to AI, data structures and algorithms, and data thinking, alongside an honors minor in intelligent big data.
I have hands-on experience with more than 30 AI model and agent products, and I keep self-studying logic, systems thinking, and cognition.
Selected Experience
Lanyue Intelligence (Jan 2026 – present): working on a Singapore data-compliance RAG agent; partner law-firm benchmark score improved by 33%.
BDSC2025 Social Computing Competition (Jun – Jul 2025): led a rumor-intervention simulation team, deployed Qwen2.5-14B-Instruct, and reduced the rumor spread index by 0.3.
LLMForFuzzing (Oct 2023 – Oct 2024): contributed to LLM-assisted vulnerability discovery and helped the team find one real zero-day vulnerability.
People's Daily comment analysis (Dec 2023): independently crawled around 5,000 items and analyzed text, sentiment, and topic structure.
Capabilities
Programming and data: Python, C, Java, JavaScript; experience in cleaning data, visualization, text analysis, experiment design, and agent workflow prototyping.
Languages and communication: native Chinese; IELTS 7.5 and CET-6 658 in English; comfortable with cross-cultural communication, research writing, and public speaking.
Extended interests: long-distance running, speech, and writing; ongoing focus on cognition, agent architecture, evaluation, and humane software.
Materials and Contact
Email is the best path for investor conversations, portfolio sharing, product materials, or a deeper discussion of where Life Exchange is headed.
Now
Right now I am doing three things in parallel: helping build a legal-compliance RAG agent and PDF-related tooling, designing a benchmark for openclaw-class personal assistants, and shaping Life Exchange into a public surface for long-horizon growth modeling.
My long-term interests sit across agent architecture, evaluation, communication, and cognition, with one recurring question underneath: what kind of software surface makes people clearer, not just faster?