Expert Details
finance, neocortex, optimization, statistical, nonlinear, karate, combat, risk, trading, nuclear, physics, stochastic, intelligence, options
ID: 725756
Oregon, USA
Since Feb 2013 he has been Principal Investigator (PI), of the National Science Foundation (NSF) collaborative resource, The Extreme Science and Engineering Discovery Environment, applied to neuroscience and financial markets, using mathematical physics tools developed by him in both classical and quantum physics.
He has developed a full suite of options codes, which may be integrated with TRD (a full end-to-end trading structure), or used independently. He developed PATHINT to evolve multivariate probability distributions, defined by general nonlinear Gaussian Markovian processes -- multiplicative noise, and published applications in several disciplines. He created a faster algorithm PATHTREE, a binomial tree to evolve such probability distributions. PATHTREE was thoroughly tested and finally published. Both PATHTREE and PATHINT have been applied to options codes, e.g., delivering full sets of Greeks based on such underlying probability distributions. Because of its speed of processing, PATHTREE has been used to fit the shape of distributions to strike data, i.e., a robust bottom-up approach to modeling dependence of strikes on volatilities.
He has developed his previously published PATHINT numerical algorithms, and a novel fast tree algorithm motivated by PATHINT, PATHTREE, to process new multivariate nonlinear generalizations of currently used options models. He has modeled indexes and options on indexes and baskets of their components, including risk scenarios and dynamic balancing of portfolios using his Adaptive Simulated Annealing (ASA) code (an importance-sampling optimization algorithm). He has developed an optimized inter-minute computerized trading system, based on his published studies using Canonical Momenta Indicators (CMI). He has modeled US and German Cheapest-To-Deliver futures contracts on bonds, and modeled Eurodollar and US Treasury options. He has developed state of the art copula risk-management algorithms.
He continues his research in statistical mechanics of multivariate nonlinear systems, which have included: Statistical Mechanics of Neocortical Interactions (SMNI), Statistical Mechanics of Combat (SMC), Statistical Mechanics of Financial Markets (SMFM), Trading in Risk Dimensions (TRD), and Statistical Mechanical Numerical Tools such as his optimization algorithm Adaptive Simulated Annealing (ASA), and path-integral algorithms PATHTREE and PATHINT.
A current project is Ideas by Statistical Mechanics (ISM). ISM is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interactions. The program is based on his work in SMNI, using his ASA code for optimizations of training sets, as well as for importance-sampling to apply his TRD copula financial risk-management codes for assessments of risk and uncertainty. These tools process correlated multivariate systems with differing non-Gaussian distributions. Marginal distributions are evolved to determine their expected duration and stability using his PATHTREE and PATHINT codes. This product can be used for decision support for projects ranging from diplomatic, information, military, and economic (DIME) factors of propagation/evolution of ideas, to commercial sales, trading indicators across sectors of financial markets, advertising and political campaigns, etc.
These tools also are being applied to price complex projects as financial options with alternative schedules and strategies. PATHTREE processes real-world options, including nonlinear distributions and time-dependent starting and stopping of sub-projects, with parameters of shapes of distributions fit using ASA to optimize cost and duration of sub-projects. One project is Real Options for Project Schedules (ROPS).
He was Director of Research and Development at DRW, a Chicago-based proprietary trading firm. And Director of Research and Development at Dunn Capital Management, then a billion-dollar hedge-fund in Stuart FL. He developed sophisticated risk-management algorithms and worked with others to enhance and perform due diligence on trading models.
Education
Year | Degree | Subject | Institution |
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Year: 1958 | Degree: Diploma | Subject: College Prep | Institution: Brooklyn Technical High School |
Year: 1962 | Degree: BS | Subject: Physics | Institution: Caltech |
Year: 1967 | Degree: PhD | Subject: Theoretical Nuclear Physics | Institution: UC San Diego |
Work History
Years | Employer | Title | Department |
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Years: 2003 to Present | Employer: Undisclosed | Title: President/Owner | Department: Undisclosed |
Responsibilities:He continues to pursue research and consult in several disciplines in which he has gained expertise over several decades.In 2012 he was Editor-in-Chief at Research Publisher in Santa Clara, CA for three journals and associated e-conferences. From 2011-2013 he was a Partner in Pion Capital, a hedge-fund partnership of Caltech alumni. From 2013- he is PI of the NSF physics project on EEG influence on Ca waves. |
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Years | Employer | Title | Department |
Years: 2001 to 2003 | Employer: Undisclosed | Title: Director Research & Development 2002-2003 | Department: Undisclosed |
Responsibilities:He developed state of the art copula risk-management algorithms and worked with others to enhance and perform due diligence on trading models. |
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Years | Employer | Title | Department |
Years: 1997 to 2001 | Employer: Undisclosed | Title: Director Research & Development 2002-2003 | Department: Undisclosed |
Responsibilities:Developing his previously published PATHINT numerical algorithms and a novel fast tree algorithm motivated by PATHINT, PATHTREE, to process new multivariate nonlinear generalizations of currently used options models. Modeling indexes and options on indexes and baskets of their components, including risk scenarios and dynamic balancing of portfolios using his published Adaptive Simulated Annealing (ASA) code (an importance-sampling optimization algorithm). Developing an optimized inter-minute computerized trading system, based on his published studies using Canonical Momenta Indicators (CMI). Modeling US and German Cheapest-To-Deliver futures contracts on bonds. Modeling Eurodollar and US Treasury options. Optimizing portfolios of other traders, enhancing the effectiveness of their trading rules. Directing mathematical modeling of codes being prepared for a commercial risk-management product, including preparation for exotic and energy options modules. Working with other team members to obtain and integrate several data resources into a central database accessible to traders as well as to analysts. Working with other team members to develop an electronic trading system interface to exchanges, prototyped using Canonical Momenta Indicators. Leading, managing and administrating many projects associated with a growing company. |
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Years | Employer | Title | Department |
Years: 1989 to 1990 | Employer: George Wasahingto University | Title: Undisclosed | Department: Mathematics |
Responsibilities:Available upon request. |
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Years | Employer | Title | Department |
Years: 1986 to 1989 | Employer: Naval Postgraduate School | Title: Undisclosed | Department: Physics |
Responsibilities:His research focused on application of statistical mechanics to large-scale systems, specifically in neuroscience and modeling of combat-simulation systems. This research also directly involved directing thesis officer-students. He served on the Physics curriculum committee and as Chairman of the Combat Analysis Sequence, a new sequence of eight courses. |
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Years | Employer | Title | Department |
Years: 1989 to 1989 | Employer: Undisclosed | Title: Senior Research Associate | Department: Undisclosed |
Responsibilities:Available upon request. |
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Years | Employer | Title | Department |
Years: 1985 to 1986 | Employer: National Research Council | Title: Undisclosed | Department: Undisclosed |
Responsibilities:Available upon request. |
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Years | Employer | Title | Department |
Years: 1969 to 1970 | Employer: State University of New York Stony Brook | Title: Undisclosed | Department: Undisclosed |
Responsibilities:Available upon request. |
Fields of Expertise
acceptance sampling, applied statistics, computer programming, Maxwell-Boltzmann distribution, Monte Carlo method, nonlinear programming, numerical optimization, applied mathematics, continuous distribution function, derivative (finance), hedging, normal distribution, option (finance), bond, financial modeling, futures (finance), normal density function, time-series analysis, flexible statistical model building, mathematical model, multivariate analysis, multivariate statistical analysis, numerical analysis, numerical modeling, probability, probability distribution, research and development, statistics, stochastic process, strategic research planning, hedge fund, portfolio, portfolio management, private equity fund, swap, commodities, securities finance, finance, information content, floating-point arithmetic, iterative method, boson, measurement error analysis, data correlation, probability theory, quantum mechanics Monte Carlo method, decision analysis, binomial mathematical distribution, market research, decision-making, computer mathematics, skewed density function, risk management, risk assessment, Poisson density function, mathematics, Markov process, histogram, exponential density function, economic analysis, discrete distribution function, curve fitting, chi-square method