Our patent pending methods and systems, which make use of cutting edge Neuroscience and Machine Learning methods, produce recommended stimuli based on user biomarker data and preferences. State++ got 2nd place in the quantitative neuroscience competition: ...more

Our patent pending methods and systems, which make use of cutting edge Neuroscience and Machine Learning methods, produce recommended stimuli based on user biomarker data and preferences. State++ got 2nd place in the quantitative neuroscience competition: https://codalab.lisn.upsaclay.fr/competitions/8336#results (click on “Final”). From the competition organizer: “More that 180 participants that tried to estimate the brain age of 2000 subjects in a fierce competition over the past weeks, resulting in 500 submissions. More than 20 competitors made it to the final phase of the competition, estimating the age of 400 subjects with only one submission allowed.” Specialties from career in financial services: appropriately applying techniques from modern machine learning and data science to financial engineering problems across a range of asset classes (including alternatives and credit), taking into account the fat-tailed nature of financial data, model performance measurement in economic terms, and the need to estimate robust statistical models to aid financial decision making. Experience in quantitative modeling in finance, quantitative risk management, derivative pricing and hedging, asset allocation, risk appetite setting, and performance measurement, including interaction with model risk management, senior management, and regulators. Former Fellow in the Mathematical Finance program at New York University's Courant Institute of Mathematical Sciences Former Member of the Editorial board of the Journal of Credit Risk Former Adjunct Professor at New York University's Courant Institute of Mathematical Sciences Former Associate Editor for the International Journal of Theoretical and Applied Finance Former Member of the International Association of Science and Technology for Development Technical Committee on Financial Engineering Former Member of the CISDD (CUNY Institute for Software Design & Development) Industrial Advisory Committee.less