Hao Zhang is a PhD student at the University of Manchester, where he is also part of the EPSRC Centre for Doctoral Training in Aerosol Science. He earned master’s degree in Energy and Environmental Engineering from Zhejiang University. Now, Hao’s research leverages advanced AI and data-driven methodologies to unravel the complexities of bioaerosol variation, both in the present and under future scenarios.

What are you working on within the Hub?

Bioaerosols continuously influence the Earth system and human health, making it crucial to understand their dynamics. With advancements in AI, it is now possible to interpret bioaerosol variations at a much finer scale. My research at the Hub focuses on developing innovative data-driven approaches to quantify the driving factors behind bioaerosol variation and evaluate their changes across diverse scenarios.

What is the impact of your research so far?

We have developed an innovative data-driven framework capable of classifying aerosols and quantifying their driving factors. For the first time, this framework demonstrates the ability to detect pollen fragmentation. Building on this foundation, we are currently conducting attribution studies on pollen variation across the UK and globally.

What has been the highlight of your research career to date?

What excites me the most is that, with the aid of bioaerosol detection devices and AI technology, we can gain a more accurate and comprehensive perspective on understanding bioaerosols, leading to entirely new insights. I am thrilled that my work can provide valuable contributions to uncovering the intricate interactions between bioaerosols, the environment, and human health.

What do you enjoy doing outside of work?

I am a big fan of video games, which help me relax and pass the time. Recently, I’ve also developed a passion for working out, as it brings both physical and mental well-being.