RESEARCH

Investigating the Neurobiology of Decision-Making in the Tech Sector

Our research at the Neuro-Based Leadership Centre explores how neurochemical feedback loops shape and reinforce decision-making patterns, particularly in the fast-moving tech sector. It builds on a decade of applied neuroscience and leadership work and is now being formalized by Tomasz Drybala, founder of the Centre, through a Master’s and PhD at a leading neuroscience university in London.

Instead of viewing leadership through traditional models of logic, willpower, or personality, this work examines what’s happening beneath the surface:

How do neurochemical feedback loops shape and reinforce decision-making patterns, and what interventions can interrupt these loops to improve the quality of strategic decision-making?

RESEARCH OBJECTIVES

To map how neurochemical feedback loops influence high-stakes decision-making
To understand how internal chemistry reinforces cognitive biases over time
To explore why leaders repeat certain decision patterns despite experience and data
To design and test neuroscience-based interventions that restore clarity and long-range alignment

RESEARCH RELEVANCE AND APLICATION

This work contributes to a deeper understanding of:

The biological roots of decision-making bias in executive leadership
How clarity is shaped, or distorted, by internal neurochemical states
The mechanics of overconfidence, urgency, and misalignment in leadership behavior
The mechanisms through which decision patterns are disrupted and rewired using neuroscience-based methods

WHO THIS RESEARCH SERVES

This research is designed to benefit:

CEOs and founders making fast, high-stakes decisions under pressure
Executives responsible for strategic alignment, team leadership, and long-term direction
Senior leaders navigating complex systems where clarity must coexist with uncertainty

Whether leading through rapid growth, market volatility, organizational change, or personal transition, the findings aim to support better decisions, rooted not just in data, but in a deeper understanding of how decisions are formed in the brain.