Hello, I’m Simon Malberg.

I am an AI enthusiast, researcher, and management consultant by profession, excited about cutting‑edge AI research, software innovation, and strategic leadership. With deep expertise in large language models (LLMs), multi‑agent systems, and automated decision‑making (see my research), I am dedicated to helping organizations design AI strategies, deliver advanced software solutions, and build the structures, processes, and teams that translate AI, data, and software into lasting competitive advantage.

What I Do

I am a Senior Consultant at McKinsey & Company (note: this website reflects my personal views and opinions only), where I am on education leave pursuing a Ph.D. in computer science at the Social Computing Research Group of the Technical University of Munich (TUM). My research focuses on the mechanisms of LLM-based reasoning in the context of strategic decision-making. I develop methodologies to make AI more reliable, transparent, and useful for complex business problems. From quantifying cognitive biases in LLMs, over building tools like FELIX for automated feature engineering to designing the StrategicAI tool for AI-supported decision-making, I am passionate about moving beyond the “black box” to create interpretable AI systems that support us humans in making better decisions.

My perspective is shaped by a dual background in technology and business:

• AI Technology: I specialize in natural language processing (NLP), LLM prompting strategies (e.g., chain-of-thought, tree of thoughts) and multi-agent architectures, as well as explainable AI (XAI).
• Strategy & Management: Working in management consulting, I understand that technology is only as valuable as the business problems it solves. I focus on how AI can assist in testing business hypotheses, constructing issue-trees, and making executive-level recommendations.

My Philosophy

My personal mantra, “Always learning, always improving – in code and in life,” reflects my belief that continuous learning is a critical capability of both machines and people, and by extension organizations. Whether a neural network learns from data, us AI researchers learn about a new AI architecture, or society learns to adapt its structures and processes while approaching artificial general intelligence (AGI), learning is the key ingredient for progress.

Beyond the Code

Besides AI and strategy, I focus on staying balanced and creative. I like to grab my guitar and learn to play a new song. I’m also an avid photographer, always looking for a fresh perspective through the lens while traveling. And I’m a firm believer in the importance of fitness and health to stay balanced and adaptive.

I am always looking to connect with fellow AI researchers, business leaders, and curious minds. Let’s explore how we can build the future of intelligent decision-making together.

Find me on: LinkedIn | GitHub | Google Scholar