Published multiple papers and participated in various research projects, such as developing a network comparison library, analyzing urban street networks, and motif-based spectral clustering. Also conducted research in computer vision on explainability and adversarial examples.
Research Experience
Currently a Postdoctoral Researcher at The Alan Turing Institute, working on Network Science under the supervision of Prof. Gesine Reinert and Dr. Mihai Cucuringu. Main projects include anomaly detection in networks using network comparison and spectral methods, and collaboration on several machine learning projects. He has also worked closely with industrial partners.
Education
Received his D.Phil. from the University of Oxford with a thesis titled 'Path-based sampling and community detection methods for biological and other applications', supervised by Prof. Felix Reed-Tsochas, Prof. Gesine Reinert, Dr. Elizabeth Leicht (currently Data Scientist at Facebook), and Dr. Alan Whitmore (e-Therapeutics plc).
Background
Network Scientist, focusing on Network Science, with research interests in developing scalable network-based algorithms to solve various real-world problems such as anomaly detection and core-periphery detection. He is also interested in applying these algorithms to a wide variety of domains, including biology, social sciences, and physical sciences.