'I expect to see customers seek out "systems of engagement" — dynamic, Al-powered tools that turn human "doers" into primarily reviewers. Systems of engagement will both store a core data set (customer details, order information, etc.) and serve as the primary application from which users complete their work.'
- Marc Andressen, Inventor of the WebBrowser, Co-Founder of Andressen Horowitz LLC (prominent West Coast VC -- re- Fintech Al startups in 2025)
Princeton University’s Department of Operations & Financial Engineering Machine learning emerges from the need to design algorithms that are capable of learning from data how to make accurate predictions and decisions. Such problems arise in a variety of "big data" domains such as finance, genomics, information technologies and neuroscience. Research at ORFE ranges from the design of large-scale machine learning algorithms to their mathematical analysis. “(Our senior colleague and lead Advisor candidate to OSML) has made deep and broad contributions in mathematical optimization with many connections to other fields including mathematics, control theory, and robotics. He has made significant advances in the study of optimization problems defined by polynomial functions, including the complexity of finding local minima and detecting convexity of polynomials. Other contributions include an algebraic characterization of perfect graphs, linear and second-order cone programming approaches to certify nonnegativity of polynomials, higher-order Newton methods for nonlinear optimization, and the construction of Lyapunov functions for switch systems in control theory. His contributions include the resolution of several problems that have been open for many years.” —INFORMS Optimization Society
CIB Technologies - CIB was formed in early 2012 by a team of technologists responsible for bringing several large Wall Street entities to the forefront of Banking Messaging Technology. Each member of our core team has more than 15 years of hands-on experience in the implementation and operation of the FIX messaging protocol for client connectivity. Our core competencies are extensive and span all facets of development, implementation and operation of FIX based client adoption.The CIB team is now focusing our expertise on driving the next evolution in our industry. FIX based client adoption has historically been a captive operation, owned and operated by firms providing brokerage services to the market. We have created a fully managed client adoption solution that provides all the features, flexibility and stability of a captive operation at a substantially lower cost. The needs of our clients are our top priority and we will provide the features and support necessary to outsource your client adoption needs to CIB.
Through the office of Strategic Partnerships & Engagements (SPE) at Princeton University via the Office of Innovation and the Office of the Dean of Research, OSML has immediate access to research project leadership in the Department of Operations Research & Financial Engineering (ORFE).