Dr. Leslie Kanthan

CEO of Turintech.ai

Leslie is a PhD from University College London. He previously worked in Credit Suisse, and as consultant to Bank of America, Commerzbank, GMEX Group, Santander, Microsoft, Orange AI Labs on AI automation. His PhD focused in Graph Theory with applications on Machine Learning in Financial Mathematics and Big Data. In addition he holds Bachelor and Masters degrees in Mathematics from Warwick, London School of Economics and Political Science and University College London. His expertise is in Graph Theory and Semi-Supervised learning, the latter being a machine learning subset within Artificial Intelligence. He has also co-authored a number of internal research reports for credit suisse in derivative pricing methods, news recommendation engine, prediction Analysis using ML in Big Data, and formulated a new options pricing scheme for GMEX.

  • Munasinghe, Ranjiva, Leslie Kanthan, and Pathum Kossinna. “Revisiting Feller Diffusion: Derivation and Simulation.” arXiv preprint arXiv:1905.10737 (2019).
  • Basios, Michail, et al. “Darwinian data structure selection.” Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ACM, 2018.
  • Basios, Michail, et al. “Optimising darwinian data structures on google guava.” International Symposium on Search Based Software Engineering. Springer, Cham, 2017.
  • Eiras-Franco, Carlos, et al. “Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing.” ESANN. 2017.
  • Xu, T., et al. “Spectral Broadening Effects in Optical Communication Networks: Impact and Security Issue.” (2018).
  • Wahidur Rahman, Yisen Xu, Fan Pu, Jifeng Xuan, Xiangyang Jia, Michail Basios, Leslie Kanthan, Lingbo Li, Fan Wu and Baowen Xu “Clone Detection on Large Scala Codebases” (under review)

Derivative pricing, prediction analysis


Prediction analysis, Graph Theory, Machine Learning, AI

Credit Suisse, Bank of America, Commerzbank, GMEX Group, Santander, Microsoft