Zissis Poulos is an Assistant Professor at the School of Information Technology at York University. Prior to joining York University, he was a postdoctoral fellow at the Joseph L. Rotman School of Management, University of Toronto (UofT). Zissis received his Master's and Ph.D. degrees in Electrical and Computer Engineering from UofT in 2014 and 2018, respectively. His research focuses primarily on machine learning applied to derivatives hedging, risk management, and volatility modeling, the application of natural language processing in the analysis of financial soft information, and generative models for financial data. His research interests also extend to distributed ledger technologies and decentralized finance. In 2019, he co-founded Tartan AI, a Toronto-based startup designing compute and compression engines for energy-efficient deep learning.

Research Interests

Current Courses

Upcoming Courses

Zissis Poulos is an Assistant Professor at the School of Information Technology at York University. Prior to joining York University, he was a postdoctoral fellow at the Joseph L. Rotman School of Management, University of Toronto (UofT). Zissis received his Master's and Ph.D. degrees in Electrical and Computer Engineering from UofT in 2014 and 2018, respectively. His research focuses primarily on machine learning applied to derivatives hedging, risk management, and volatility modeling, the application of natural language processing in the analysis of financial soft information, and generative models for financial data. His research interests also extend to distributed ledger technologies and decentralized finance. In 2019, he co-founded Tartan AI, a Toronto-based startup designing compute and compression engines for energy-efficient deep learning.

Degrees

Research Interests

Current Courses

Upcoming Courses