Hi, I am Lloyd.
I am a PhD student, soil lover, and future scientist.
I am Lloyd Yin-Chung Huang (黃胤中), a PhD candidate in Soil Science at the University of Sydney. I began my PhD journey in late 2023 under the supervision of Prof. Budiman Minasny. Here in Sydney, I study the application of machine learning on soil spectroscopy, including Visible and Near-Infrared (VisNIR) and Mid-infrared (MIR). I came from Taiwan and got my master’s degree in Agricultural Chemistry from National Taiwan University. I have a broad interest in questions involved in the biogeochemical cycle and am thrilled to start my academic journey. I am passionate about research work and hold enthusiasm toward soil science.
I study soil spectroscopy with a domain knowledge of machine learning and pedogenesis. With the understanding of soil formation, I am expecting to deal with issues including climate change, sustainable production, smart agriculture, and even planetary exploration! My present research focuses on the application of mid-infrared on soil mineralogy and the use of low-cost spectrometers to estimate soil carbon stock.
To date, I have published seven first-authored peer-reviewed papers. The most recent one is published in the journal Geoderma titled “Zero-shot inference with Tabular Prior-data Fitted Network (TabPFN) for soil MIR spectral analysis.” We evaluated the application of a foundation model in the field of soil spectroscopy and found this algorithm acquired better results than PLSR, Cubist, and even convolutional neural network!
I am a dreamer and want to be a scientist. In my free time, I enjoy rock climbing and hiking. I am also a gamer who enjoys soulslike games. For more information, check out my CV and Research pages. You can also contact me through email (lloyd.yc.huang@sydney.edu.au).