Bio: Majeed Simaan is a tenure-track assistant professor of Finance and Financial Engineering at the School of Business at Stevens Institute of Technology (SIT). He holds a Ph.D. in Finance from Rensselaer Polytechnic Institute (RPI) 2018. His research interests revolve around Risk Management, with a focus on Asset allocation and Pricing. His research has been published in different outlets such as Management Science, the European Financial Management, the International Review of Financial Analysis,  the European Journal of Operational Research, Quantitative Finance, and the Journal of Futures Markets. Additionally, his research has been featured on news outlets such as Bloomberg, funded by the NSF via CRAFT, and contributed to a recent book on machine learning for financial markets published by the Cambridge University Press. 

Prior to joining SIT, he worked as a part-time data scientist for Financial Network Analytics (FNA) during the summer of 2018. Additionally, Simaan pursued graduate training in the area of Mathematical Finance at the London School of Economics (LSE) for one year before joining RPI for his Ph.D. studies. While in London, he worked as a part-time Quantitative Analyst for Pantheon Ventures. He is also an active member of the R programming community, promoting a free software environment for statistical computing and data science. He holds both a BA and MA in Statistics from the University of Haifa with a specialization in actuarial science. In Aug 2023, he became a certified FRM via GARP.