Priya Wadia
Priya Wadia is Brixnex's AI Policy & Ethics Correspondent, reporting on AI regulation, safety research, and the societal implications of advanced AI systems. She tracks policy developments across the EU, US, UK, and Asia, translating dense regulatory language into clear analysis for technical and non-technical audiences alike.
Priya holds a Law degree with a specialisation in technology and data policy. Before joining Brixnex, she worked as a policy researcher at a digital-rights NGO and as a regulatory analyst at a fintech consultancy. Both roles required her to bridge the gap between legal frameworks and technical realities — a skill that defines her AI policy coverage.
Her reporting on the EU AI Act, AI safety legislation, and landmark regulatory enforcement actions has been cited by policy researchers and AI practitioners across Europe and North America.
Articles by Priya
AI in Education 2026: What Teachers and Students Need to Know 📅 March 8, 2026 The Future of AI: Calibrated Predictions for 2027 and Beyond 📅 March 1, 2026Priya Wadia covers robotics, embodied AI, and computer vision for Brixnex, tracking the rapid convergence of large-scale AI models with physical world systems. She holds an MEng in Robotics from Imperial College London and brings five years of research experience in autonomous systems and robot learning to her analytical work.
Before joining Brixnex, Priya worked as a research engineer at a robotics company developing manipulation policies for industrial automation, where she gained hands-on experience with simulation-to-real transfer, sensor fusion, and real-time control systems. This practical background gives her coverage of humanoid robots and autonomous systems a grounded perspective that distinguishes Brixnex's robotics content from general-interest reporting.
Priya's analyses of the 2026 humanoid robot landscape, covering companies like Figure, Boston Dynamics, and 1X Technologies, have become essential reading for anyone tracking the commercialisation of general-purpose robots. She also provides in-depth breakdowns of major computer vision research, from diffusion model advances to the latest in video understanding.
Areas of Expertise
- Humanoid robot design and dexterity challenges
- Foundation models for robotics (RT-2, Octo, OpenVLA)
- Computer vision: detection, segmentation, and 3D understanding
- Simulation environments for robot learning (Isaac Sim, MuJoCo)
- AI in healthcare: diagnostic imaging and surgical robotics
Research Approach
Priya reads primary papers before writing about them. Her coverage of AlphaFold 3 and its implications for drug discovery is a model of how to make cutting-edge academic research accessible without misrepresenting what the science actually shows. She is particularly alert to hype cycles in robotics and consistently provides readers with a realistic assessment of timelines and technical hurdles.