• Hello, I'm a theoretical physicist and an assistant professor at the Decision Analysis and Support Unit at SGH Warsaw School of Economics (Poland).

• I am a researcher with a keen focus on the intersection of cutting-edge technologies and practical business applications. My primary research areas encompass Quantum Machine Learning and Quantum Computing on NISQ devices, which reflect my dedication to exploring the potential of quantum computing in solving complex problems. Additionally, I am deeply involved in streaming data analytics, where I seek to harness real-time data for meaningful insights. A significant aspect of my work involves the fusion of quantum and classical optimisation techniques to enhance business processes.

• My recent contributions to the academic landscape include publications that demonstrate my expertise in and Quantum autoencoders, Quantum representation of graphs, Data Analysis, Machine Learning and Deep Learning and Neutrino mass physics.

• Specifically, I have delved into the challenging domains of complex networks and time series data, where I've developed novel methodologies for identifying outliers, ultimately contributing to a deeper understanding of these intricate data structures.

Overall, my research showcases a commitment to pushing the boundaries of technology while addressing real-world challenges and making strides in both the quantum and data analytics domains.

• 🔭 I’m currently working on graphs community and outlier detection, Quantum Machine Learning for graphs and time series
• 🌱 I’m currently learning a Quantum Computing, Quantum Machine Learning, streaming processing and MLops methodology
• 👯 I’m looking to collaborate on Quantum Machine Learning
• 💬 Ask me about everything
• 📫 How to reach me: sebastian.zajac [at] sgh.waw.pl
• ⚡ Fun fact: I play the accordion