Drawing on stories from my own upbringing and my son’s early years, I reflect on what parenting reveals about the line between human wisdom and machine intelligence , and why, in the age of AI, our most human qualities still matter most.
This talk explores the challenges of validating autonomous driving functions at scale, including reproducibility issues and fragmented toolchains. It introduces a new approach combining deterministic replay and infrastructure-aware environments to enable rigorous, traceable validation and reliable ADAS deployment.
My talk highlights how AI-native systems introduce new validation challenges and how Apex.AI’s platform accelerates the validation and verification pipeline, enabling engineering teams to develop and deploy AI-based software with greater coverage, confidence, and speed.
This article is about how the integration of vision-language models (VLMs) is set to transform the development of self-driving cars. I discuss key breakthroughs driving the innovation, the opportunities VLMs create for advancing autonomous vehicle capabilities, and the challenges that must be overcome for successful real-world deployment.
Introduced Apex.AI alongside 10 pioneering companies in autonomous driving and ADAS technologies. It was an exciting opportunity to discuss the key trends, innovations, and challenges shaping the future of mobility.
In my conversations with autonomous driving & robotics companies, determinism always comes up as a key hurdle holding back AI from real-world deployment. With Apex.OS, we’re delivering a breakthrough solution by enabling deterministic, scalable, and reliable Verification & Validation (V&V) processes.
Robotaxis can’t succeed as a solo act. Thriving requires collaboration and ecosystem building. I remain optimistic that one day, AVs will become trusted companions in transportation, seamlessly integrating into our lives and leading us to a world where people and places are connected with ease, safety and joy.
Co-authored with colleagues Chris Philips and Lyle Johnson, this SAE World Congress 2026 paper explores how to build the “digital backbone” for validating AI-driven mobility systems through deterministic testing and simulation. The research shows how integrated tooling can accelerate development cycles while strengthening safety and compliance readiness.
I co-presented a seminar with Alicia Seiger on the pivotal shift from counting carbon to accounting for carbon. The seminar addressed the four unsettled accounts—data, boundaries, timing, and obligations, and how, in practice, we can enhance transparency, accountability, and effectiveness, enabling auditable and impactful Net Zero strategies.
The introduction of the Emission Liability Management (ELM) approach signals an evolutionary paradigm shift. The E-liability methodology champions using actual emission data rather than estimates and facilitates a quantifiable and auditable representation of a company’s decarbonization efforts. Our analysis of the Pirelli Pro Forma (PPF) highlights the insights and transparency that E-liability brings.
Contributed to Forbes expert panel on the topics of SaaS, Data Analytics , Shared Mobility, Innovation Culture, and Robotics.
At the HKUST Startup Forum, I shared my insights on the latest trends in Autonomy and Robotics: technological advancements, key challenges, and future directions.