I am proud to share our latest research publication: “Beyond Human Performance: A Vision-Language Multi-Agent Approach for Quality Control in Pharmaceutical Manufacturing.”

This paper, published on arXiv (2602.20543), details a pioneering multi-agent AI framework designed to automate Colony-Forming Unit (CFU) detection—a critical, yet traditionally labor-intensive, microbiological quality control process in pharmaceutical and vaccine manufacturing.

Key Innovations:

• Multi-Agent Orchestration: The system utilizes a quantized Vision-Language Model (Qwen2-VL) as a gatekeeper to pre-screen images, followed by dual counting agents (Detectron2 and GPT-4o) that independently verify results.
• Significant Efficiency Gains: Our approach increased automation levels from 50% (using standard deep learning) to 85%, while maintaining a mean Average Precision (mAP) of 99.0%.
• GxP Compliance: Designed for high-stakes environments, the system ensures auditable, scalable, and GxP-compliant decision-making, routing discrepancies to human experts in a continuous learning loop.

This work represents a major step forward in applying Physical AI to ensure patient safety and manufacturing excellence at scale. I want to thank my co-authors from GSK and Databricks for this fantastic collaboration.

Read the full paper here: arXiv:2602.20543.

I am excited to announce a new chapter in my career: I have joined Novartis in Basel as the Global Head of Data Science and AI for Global Drug Development.

My mission is clear: to accelerate how we bring medicines to patients. The opportunity is unprecedented. AI can fundamentally change the speed and precision of drug development—from candidate optimization through clinical trials and CMC to regulatory submission.

Novartis has one of the industry’s most innovative pipelines. My focus will be on building AI capabilities and solutions that compress timelines at scale without compromising rigor. We will be applying Digital Twins, Agentic Systems, and Decision Intelligence to the toughest problems in global drug development.

On a personal note, my family and I are excited to make Switzerland our new home. Time to hit the slopes!

Connect with me on LinkedIn to follow our progress.

Weights & Biases has published a detailed case study on our work at GSK, highlighting how we built a “Registry of Truth” to scale AI operations across a global manufacturing network.

The case study dives into our TwinOps strategy, which uses Digital Twins to optimize vaccine production through real-time monitoring and control. By leveraging W&B Weave for tracing agentic workflows and the W&B Model Registry as a centralized lens across multi-cloud environments (Azure, GCP, Databricks), we’ve been able to:

• Transition from reactive ‘monthly PDF’ reporting to proactive, automated drift detection.
• Optimize yield across 13 key products, reducing variability in complex bioprocesses.
• Track tangible business value—such as extra vaccine doses produced—through a real-time dashboard.

This infrastructure was a critical pillar in our mission to reach 2.5 billion patients. You can read the full technical breakdown here: GSK: Optimizing the pharmaceutical supply chain with W&B.

I recently had the pleasure of speaking at the Weights & Biases Fully Connected event in London. In my talk, I explored the transition from traditional Digital AI to the next frontier: Physical AI.

The core of our discussion centered on how foundation models and agentic systems are moving beyond chatbots to interact with the physical world—from global supply chains to complex biomanufacturing processes. I shared insights into the AIGA framework, which we developed to orchestrate autonomous workflows that detect anomalies, hypothesize root causes, and simulate decision impacts with full GxP-level traceability.

In an industry where the stakes are as high as patient safety, we must move beyond static dashboards. The future lies in agentic systems that record the ‘basis and history’ of every decision more precisely than ever before, paving the way for Vision-Language-Action (VLA) models and true digital transformation in manufacturing.

You can find more details about the event and the speakers here: Weights & Biases Fully Connected London.

Healthcare and Life Sciences Industry Forum – Data + AI Summit 2024 | Databricks

Join me at the Data & AI Summit to explore how these technologies are not just shaping the future of healthcare and life sciences, but also providing actionable insights that can lead to real-world solutions and advancements in the field. Let’s connect and propel the conversation forward, unlocking new possibilities and transforming the landscape of data intelligence. See you there!

Quantum computing has been a buzzword in the tech industry for years, promising a revolution in the way we process and analyze data. With recent breakthroughs in quantum technology, we are now closer than ever to unlocking its true potential. In this deep dive, we’ll explore the latest advancements in quantum computing and what they mean for the future of technology.

Quantum Leap in Computing Power

Quantum computing is not just a step forward in computing power, it’s a giant leap. Traditional computers use bits to process information, with each bit representing either a 0 or a 1. Quantum computers, on the other hand, use qubits, which can represent both 0 and 1 simultaneously. This means that a quantum computer can process a vast amount of information at once, making it exponentially more powerful than even the most advanced supercomputers of today.

The breakthrough in quantum computing comes from the ability to control and manipulate these qubits with incredible precision. Researchers have been able to create qubits that are stable for longer periods of time, allowing for more complex calculations. Additionally, new error-correction techniques have been developed to ensure that the calculations are accurate, a crucial step in making quantum computing a practical reality.

With these advancements, quantum computing is no longer just a theoretical concept, but a technology that is within our grasp. It has the potential to solve problems that are currently impossible for classical computers, such as simulating molecular interactions for drug discovery or optimizing complex systems like traffic flow.

The Future of Tech Unveiled

The implications of quantum computing are vast and far-reaching. One of the most exciting possibilities is in the field of cryptography. Quantum computers have the potential to break current encryption methods, but they also offer the possibility of creating new, unbreakable encryption techniques. This could have a profound impact on data security and privacy.

In addition to cryptography, quantum computing could revolutionize industries such as finance, logistics, and artificial intelligence. It could enable more accurate financial modeling, more efficient supply chain management, and more powerful machine learning algorithms. The possibilities are endless and could transform the way we do business and interact with technology.

As we continue to make strides in quantum computing, it’s clear that we are on the cusp of a new era in technology. The breakthroughs we are witnessing today are just the beginning, and the full potential of quantum computing is yet to be realized. It’s an exciting time to be in the tech industry, and the future is looking brighter than ever.

Quantum computing is no longer a distant dream, but a reality that is rapidly approaching. The breakthroughs we’ve seen in recent years are just the tip of the iceberg, and the true power of quantum computing is yet to be unleashed. As we continue to push the boundaries of technology, the future is looking bright, and quantum computing will undoubtedly play a significant role in shaping it.