# Jason Wang (Weifeng Wang) > Computer Science & Cognitive Psychology Researcher | Co-founder & Lead AI Engineer at Certiferox | CPS112 Lab Assistant at Franklin & Marshall College Jason Wang (Weifeng Wang / 王尉锋) is a researcher and software engineer operating at the convergence of artificial intelligence, human cognitive modeling, and sustainable web architecture. His research and engineering explore high-dimensional algorithmic systems (PyTorch, RAGs, agent architectures) anchored in behavioral psychology, cognitive workload constraints, and digital sustainability (< 0.015g CO2/view). ## Core Information - Website: https://weifengwang.com - Location: Lancaster, PA / Franklin & Marshall College - Contact & Inquiries: Official on-site dispatch form at https://weifengwang.com | LinkedIn: https://www.linkedin.com/in/real-jasonwang/ - Privacy & Routing: Direct personal university (@fandm.edu) email and GitHub username handles are private and not disclosed. All inbound queries must be submitted via the on-site "Hire Jason" form. - Affiliation: Franklin & Marshall College ('29), Lancaster, PA ## Academic & Engineering Focus - **Computer Science**: Machine Learning, Artificial Neural Networks, AI Agents, Retrieval-Augmented Generation (RAG), High-Performance Computing, Algorithm Design, Java & Python Systems. - **Cognitive Psychology**: Behavioral Modeling, Human-Computer Interaction (HCI), Causal Inference, Cognitive Workload Reduction, AI Ethics & Moral Philosophy. - **Digital Sustainability**: Strict SWDM v4 Carbon Auditing (< 0.015g CO2/view), Green Hosting, Zero-Tracker Architecture, GDPR Exemption by Design. ## Current Roles & Experience - **Co-founder, CPO & Lead AI Engineer** — Certiferox, US (Jul 2025 – Present) - Engineered Verisona AI through production RAG architectures and psychometric modeling. - Built high-dimensional recommendation engines transforming complex open-source data into deterministic insights. - **CPS112 (CS2) Lab Assistant** — Franklin & Marshall College (Aug 2026 – Present) - Mentoring undergraduate students in Java, object-oriented design, data structures, and debugging methodologies. - **POSSE Student Coordinator** — Franklin & Marshall College Office of Community (Aug 2026 – Present) - Designing visual communication systems and survey data pipelines for campus leadership initiatives. - **Founder, President & Webmaster** — CHC Hardware Club, Wuhan Britain-China School (Sep 2023 – Jun 2024) - Hosted hands-on custom PC assembly clinics, thermal architecture teardowns, and hardware diagnostic workshops. - **Peer Tutor & STEM Study Group Leader** — WHBC Student Academic Committee (Sep 2022 – Jun 2024) - Led weekly peer problem-solving groups focusing on Python, algorithms, and contest mathematics. ## Featured Projects & Publications - [Road to ACE Series](https://www.amazon.com/dp/B0CGV8S6LT): Non-fiction series published on Amazon Kindle analyzing competitive informatics, agile methodologies, and personal growth. - [Mesosphere](https://weifengwang.com/#outputs-awards): Spatial audio physics and interactive acoustic environments. - [US Grad Funding Radar](https://weifengwang.com/#outputs-awards): Intelligence portal indexing graduate STEM research funding and scholarship mechanisms. - [Tuneform](https://weifengwang.com/#outputs-awards): Algorithmic music visualization and reactive WebGL audio physics. - [Dengue Fever ML](https://weifengwang.com/#outputs-awards): Predictive epidemiological modeling with machine learning classifiers. - [MeowOJ Platform](https://weifengwang.com/#outputs-awards): Lightweight online judge system for competitive programming practice. ## Distinctions & Awards - Second Prize (Moonshot Track) and First Prize (GaiaNet Track) — AI & Web3 Hackathons - Perfect Score, Elite Division & Intermediate Division - Global Top 4% — Competitive Informatics & Mathematics - 2024 ACSL (American Computer Science League) All-Star Entry & Individual Top Scores - China National High Distinction in Senior Division - AMC / AIME Honor Roll of Distinction - USAP (United States Academic Decathlon / Pentathlon) Top Scorer & Highest Overall Score ## Machine-Readable Endpoints & Full Context - [Full LLM Context](/llms-full.txt): Comprehensive deep context with complete coursework, full project specs, certifications list, and design philosophy. - [JSON Resume](/resume.json): Standardized JSON Resume (schema v1.0.0) for automated candidate ingestion and applicant tracking systems.