PhD in Electrical and Computer Engineering, Assistant Professor at MUST. Specializing in machine learning for cybersecurity, penetration testing, and building intelligent defense systems.
A cybersecurity scholar combining academic research with real-world defense, dedicated to applying machine learning to proactive security and protecting digital assets.
A PhD graduate in electrical and computer engineering, with a focus on Machine Learning. I am also a part-time hacker at HackerOne and I also do pentesting of mobile applications, websites and APIs. Currently working as an assistant professor at the Macau University of Science and Technology (MUST).
Teaching and researching in cybersecurity, machine learning, and IoT security at the Macau University of Science and Technology.
Provides proactive threat defense, API penetration testing, and architecture review for e-commerce, finance, and blockchain startups. Assisted 20+ companies in identifying high-risk logical vulnerabilities.
Machine Learning algorithms and NLP projects. All of the above models were implemented from scratch, all the training data was generated by myself using my own synthetic data generation algorithms (the company did not provide any dataset for me).
Click below to switch pages, watch my fluent speaking video demonstration, or view my professional language proficiency certificates.
Achieved HSK Level 4 certification, demonstrating fluency in business negotiation and report writing in Chinese.
👁️ Click to view original certificateCompleted a 30-hour short-term course in Chinese-Portuguese simultaneous interpretation organized by the Centre for Chinese-Portuguese Bilingual Teaching and Training (CPC) at the University of Macau.
👁️ Click to view original certificateUniversity of Macau · Centre for Innovation and Entrepreneurship
Developed an innovative solution at the first University of Macau Hackathon, standing out among numerous teams and winning 2nd place.
For collaboration opportunities or research inquiries, please fill out the form and I'll get back to you within 24 hours.