Hi, I’m Nicholas Tan Jerome (TJ), a postdoctoral researcher at the Karlsruhe Institute of Technology (KIT). My work focuses on applying machine learning to real-world scientific challenges—particularly in time-series forecasting, causal inference, and large-scale sensor networks. I’m currently part of the KATRIN experiment, where I develop methods to monitor and predict the stability of the tritium source used in neutrino mass measurements.

Beyond research, I’m passionate about building practical tools for data analysis and visualization, especially for complex experimental setups. I enjoy exploring how intelligent systems can help scientists make better, faster decisions from noisy and high-dimensional data.

You can find my work on Google Scholar, explore some of my projects on GitHub, or connect with me on LinkedIn, or just ask-me-anything directly via nicholas.tanjerome[at]kit.edu.