About Me
Machine Learning Engineer & AI Researcher
 
            Hello, I'm Yousef Taheri
I'm a passionate AI/ML researcher and developer with a PhD in Responsible AI, specializing in ethical machine learning, compliance automation, and multi-agent systems. My journey in artificial intelligence began with a deep curiosity about how technology can be developed responsibly and ethically.
As a Data Scientist and AI developer, I transform complex ideas into concrete, responsible solutions. Driven by rigor, curiosity, and impact, I engage in projects that combine data science with innovation while maintaining the highest ethical standards.
My research focuses on automating legal and ethical compliance for trustworthy AI systems. I believe that the future of AI lies not just in technical advancement, but in ensuring these systems are fair, transparent, and aligned with human values.
Research Interests
- Responsible AI: Developing frameworks for ethical AI development and deployment
- Compliance Automation: Building systems that ensure AI models meet regulatory and ethical standards
- Multi-Agent Systems: Creating intelligent agent architectures for complex problem-solving
- Fairness & Bias Detection: Implementing automated bias detection and mitigation techniques
- Explainable AI: Making AI decision-making processes transparent and interpretable
Professional Philosophy
I believe that technology should serve humanity's best interests. Every AI system I develop or research I conduct is guided by principles of fairness, transparency, accountability, and human-centered design. My goal is to bridge the gap between cutting-edge AI research and practical, responsible applications that benefit society.
Education & Background
PhD in Artificial Intelligence
Thesis: "Automatisation de la conformité légale et éthique pour une IA de confiance"
Supervisors: Prof. Jean-Gabriel Ganascia & Dr. Gauvain Bourgne
Focused on developing automated compliance mechanisms for trustworthy AI systems, with emphasis on legal and ethical frameworks.
Research & Development
Conducted extensive research in responsible AI, multi-agent systems, and compliance automation. Published multiple peer-reviewed papers and developed practical AI solutions.
Industry Experience
Worked on various AI/ML projects spanning cybersecurity, legal compliance, and cloud-based ML operations. Developed expertise in both research and practical implementation.
Key Achievements
Doctoral Research
Completed PhD in Responsible AI with focus on automated compliance for trustworthy AI systems
Publications
Multiple peer-reviewed publications in top AI conferences and workshops
Research Impact
Developed novel approaches to AI compliance and ethical decision-making systems
Open Source
Contributed to open-source AI projects and developed innovative ML solutions
Let's Connect
I'm always excited to discuss new opportunities, collaborations, and innovative projects in AI/ML and responsible technology.