Malwina Luczak facts for kids

Malwina J. Luczak is a mathematician from Poland. She is an expert in two main areas: probability theory and the study of random graphs. Probability theory is about understanding the chances of things happening. Random graphs are like networks where connections are made by chance. She is a professor at the University of Manchester.

Her Journey in Math

Malwina Luczak grew up in Poland. She started university when she was just 16 years old. At first, she studied the English language at the Nicolaus Copernicus University in Toruń.

After two years, she moved to the UK and studied at Keele University. It was there that she decided to switch to mathematics. She then enrolled at St Catherine's College, Oxford to study math.

Studying at Oxford

After her first year at Oxford, she earned a scholarship. This helped her continue her studies. She stayed at Oxford to complete her D.Phil., which is a very high-level university degree, similar to a PhD. She finished this degree in 2001. Her research was about probability, computer methods, and systems used in telecommunications.

Her Career Path

After finishing her studies, Malwina Luczak worked at several universities. She was an assistant lecturer at the University of Cambridge. Then, she became a reader in mathematics at the London School of Economics.

In 2010, she became a professor at the University of Sheffield. She also received a special five-year fellowship to support her research. Later, she moved to Queen Mary University of London. In 2017, she took a professorship in Melbourne, Australia. Most recently, in 2023, she joined the University of Manchester.

What She Researches

Malwina Luczak's work involves solving complex math problems. Her research helps us understand many different things.

Understanding Networks and Systems

For example, she has studied the "supermarket model" in queueing theory. This helps understand how lines work in places like supermarkets. Her work also looks at the "cores" of random graphs. This helps understand the strong, central parts of random networks.

She also researches the "giant component" in random graphs. This is about how large parts of a network connect together. Another area of her research is the "Glauber dynamics" of the Ising model. This helps explain how systems change over time.