This episode of ByteSight features Dr. John KL Wong, one of PAICON’s own team members, working at the intersection of bioinformatics and cancer genomics. His path to PAICON ran through two very different data environments, first in Hong Kong, then in Germany, and both left him with the same conclusion: most health data still underrepresents most of the world, and PaiX Navigator exists to change that.

In this conversation, Manasi and John go behind the scenes of PaiX Navigator, PAICON’s flagship platform, tracing the years of hands on, often frustrating experience with fragmented and unrepresentative data that shaped it. They talk about why having datasets from dozens of countries is what John calls a luxury problem, how PaiX Navigator turns that luxury into something researchers can actually access across 60+ countries, and why reference genomes built mostly around European ancestry raise real questions for the diverse populations they’re now being asked to serve.

About Dr. John Wong

John Wong holds a PhD in statistical bioinformatics from Hong Kong, where his early research covered rare diseases including certain forms of epilepsy, alongside bioinformatics work on liver cancer that shaped his interest in cancer biology. He went on to spend six and a half years as a postdoctoral researcher at DKFZ in Germany, working with cancer genomics datasets, before joining PAICON, where he now works on the data harmonization and agentic AI systems behind PaiX Navigator.

The problem that followed him from Hong Kong to Germany

John’s research career kept running into the same wall in different forms. In Hong Kong, cancer research meant working with a small, resource limited population, restricted to local hospital data, which pushed him toward niche, narrowly scoped studies. Moving to DKFZ in Germany gave him access to European scale data for the first time, but the data itself became the real obstacle: reports that took a postdoc months to manually sort and classify by hand before any actual research could even begin.

People underestimate the data gap until they’ve actually seen it. You don’t know the size of it until it’s right in front of you. - Dr. John KL Wong

PaiX Navigator was built directly out of that experience, to spare researchers the exact manual work, this time across languages, health systems and countries at once.

Turning a luxury problem into PaiX Navigator’s edge

The conversation turns on a reframe John keeps coming back to: diverse data as a luxury problem, one most research teams never even get the chance to face.

Having datasets from different countries is a luxury problem we can’t really afford. - Dr. John KL Wong

That’s the exact gap PaiX Navigator was built to close. The platform now gives researchers and health organizations direct access to data and insights from across 60+ countries, turning what used to be an unaffordable luxury into something any team can actually use. Asked what sets PaiX Navigator apart from other data platforms on the market, John points to the layer that makes that access possible in the first place: harmonization. It’s what turns a pile of inconsistent, multilingual reports from dozens of countries into something a researcher can actually use, and it’s the part of the work that took years of hard won experience to get right.

He also describes using PaiX Navigator himself, and points to its built in guardrails against hallucination as a meaningful difference from generic AI chatbots. The conversation also touches on a subtler issue: reference genomes used across genomics are still built mostly around European ancestry, which raises real questions about how well they serve Asian or African populations, and why tools built for this problem need to be designed with that awareness from the start.

Final takeaway for listeners

John closes the conversation with a simple, direct message: diversity in data can be solved with the tools that already exist today.

Diversity is important, and it’s solvable. We just have to build the tools for it. - Dr. John KL Wong

His hope is that platforms like PaiX Navigator keep making that case harder to ignore, so the excuse of “the data just isn’t there” stops holding up.

Tune in for a conversation about why harmonization, more than diversity itself, has always been the harder problem to solve.

Curious what PaiX Navigator can do with your own research question? Try PaiX Navigator →