Hello! I am Chi-Fong Wong, a physicist, currently an assistant professor in the Faculty of Data Science at City University of Macau.

I primarily work on particle physics phenomenology, focusing on neutrinos (about the origin of masses and mixings) and dark matter (about its nature and cosmological impact). Additionally, I have also dedicated some time before to simulations and analysis of the Martian atmosphere, particularly regarding its global circulation and intriguing seasonal dust storms.

Recently, I have been paying more attention to utilizing machine learning and data analysis techniques on various topics across physics and finance. From a physicist’s perspective, the sciences of both fields are the same.

Recent Research Interests

Machine Learning Applications

• High energy physics and cosmological data, such as collider experiments and astronomical observations.
• Data-driven inference of differential equation in complex system, such as atmosphere.
• Data analysis on financial market, such as stock price and anomaly.

High Energy Physics

High energy physics studies the most fundamental structure and interactions of nature and is inevitably related to cosmology. I work on Beyond Standard Model physics, aiming to address:

• The flavour problem, especially neutrino mass and mixing.
• Cosmological mysteries, including dark matter, dark energy, and gravitational wave.