Global Risk Management Network, LLC, 757 Warren Rd, Cornell Business & Technology Park, Ithaca, NY 14852-4892
World-Leading Hi-Tech Research Pioneering World-Leading Hi-Tech Practices.
Digital Transformation, Computational Finance, CyberSecurity Risk Engineering, AI & Decision Modeling, Algorithms & Machine Learning

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Dr. Yogesh MalhotraRESEARCHWall Street Quant: Big-3 Finance-IT LeaderResearch Impact among Nobel LaureatesPrinceton Quant Trading PresentationsVentures:
[Digital Transformation Pioneer] [Computational Quant Finance ] [CyberSecurity Risk Engineering] [AI, Algorithms & Machine Learning] [FinTech: 'Rethinking Finance']
Princeton Quant Presentations: Post-Doc AI-Algorithms-Machine Learning: Top-10 PhD IT-Statistics Double Doctorate & 5 Masters: Data Science-Predictive Analytics
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
Dr. Yogesh Malhotra
Post-Doc Computational Analytics-AI & Decision Modeling-Algorithms-Machine Learning: Princeton Quant Presentations; Quant Top-10 PhD IT & Statistics Double Doctorate;
MS Quantitative Finance;
MS Computer Science;
MS Network & Computer Security;
MS Accountancy;
MBA Quantitative Economics;
Bachelor of Engineering with Distinction;
CEng,CISSP,CISA,CEH,CCP/CDP
. 


*

RESEARCH
* ACM-TMIS
* Princeton
* SSRN
* MRM
* GoogleScholar
* Syracuse
* LinkedIn


 

*E-mail: Dr.Yogesh.Malhotra[at]gmail.com *LinkedIn: linkedin.com/in/yogeshmalhotra
Model Risk Management Research Impact among Finance Nobel Laureates such as Black-Scholes & Markowitz.
AI-Algorithms-Machine Learning: Hedge Funds: Model Risk Arbitrage, Cyber-Finance & Insurance Pioneer.
Wall Street Investment Banks-Hedge Funds Quant: Invited Princeton University Quant Trading Presentations.
Global Computational Quant Leaderships: Digital, Computational, Quant, Cyber Risk Management-Analytics:

Wall Street Hedge Funds Quant, Big-3 Banking-Finance and IT-Telecom Firms; Silicon Valley VCs & CxOs;
National Science Foundation; United Nations; US-World Governments, Economies & Defense Agencies.

*2008: AACSB: Model Risk Management Research Impact among Nobel Laureates such as Black-Scholes.
*2015 & 2016 Princeton Quant Trading Conference: Sponsors: Goldman Sachs, Citadel, SIG, KCG Holdings.
*2015 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
*2016 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
*2016 New York State Cyber Security Conference Research Presentation: Sponsor: New York State Governor.
*2017: SSRN: 40 Top-10 Rankings: Top 10% Authors: AI-Decision Modeling-Algorithms-Machine Learning.
*2017-2018: ACM-TMIS: Special Issue: FinTech-TechFin Applications: IS Outcomes-Translational Research.
*Publications: 2018 Jrnl. of Operational Risk, 2017 Jrnl. of Computer Sciences, SSRN, MRM, Prior Research.

INTERVIEWS IN WORLDWIDE BUSINESS & TECHNOLOGY PRESS: INSIGHTS & FORESIGHTS LEADING GLOBAL PRACTICES
CIO Magazine CIO Insight Inc. Magazine Fortune Magazine Wall Street Journal Business Standard
EXECUTIVE SUMMARY
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Model Risk Management Research Impact among Finance Nobel Laureates such as Black-Scholes.
Wall Street Investment Banks-Hedge Funds Quant: Invited Princeton Quant Trading Presentations.
Post-Doc AI-Algorithms-Machine Learning, Top-10 PhD IT-Statistics Double Doctorate.
Computer Scientist, Management Scientist, Information Scientist, Chartered Engineer.

Global Computational, Quant, Finance-IT-Cyber Risk Management Analytics Leaderships:
Hands-On Top Leadership Business-IT Strategic, Operational, Tactical Leader:
Wall Street Investment Banks with $1 Trillion AUM: JP Morgan MDs-PMs.
Founder, Computational, Quant, Risk Analytics Digital Ventures:
CxO clients such as Goldman Sachs, Google, IBM, Intel, Microsoft.
Global Financial Systems Leader: Big-3 Finance-IT firms: Bank of America.
$100 Billion hi-tech firms: Intel, BT (UK), Silicon Valley VCs-CEOs, UN, NSF.

Computational Quant Finance-IT-Risk Analytics Projects Leader:
Wall Street banks with $1 Trillion AUM such as JP Morgan:
Quant Finance, Liquidity Risk, Market Risk, Credit Risk,
Financial Econometrics & Programming, Large-Scale Data Modeling,
Interest Rate Derivatives, Fixed Income & Equity Portfolio Modeling:
SAS, MATLAB, C++, MS-Excel, VBA, Bloomberg.

Princeton Quant Trading Conference Presentations:
Sponsors: Goldman Sachs, Citadel, SIG:
Model Risk Arbitrage, Cyber-Finance & Insurance Pioneer:
40 SSRN Top-10 Research Rankings:
Decision Modeling, Uncertainty & Risk Modeling,
Mathematical Methods & Programming, Stochastic Models,
Econometrics, Operations Research.

Data Science-Predictive Analytics:
Princeton Quant Presentations: Post-Doc AI-Algorithms-Machine Learning:
Top-10 PhD IT-Statistics Double Doctorate & 5 Masters: Computer Science & Finance:
Professor: Computer Scientist, Management Scientist, Information Scientist.

Worldwide invited interviews-editorial reviews:
Global CEO, CIO, CFO, CRO Benchmarks:
Wall Street Journal, New York Times, Fortune, Inc,
CIO, Computerworld, ACM, IEEE.

Post-Doctoral Research: Computational Quantitative Analytics: AI & Decision Modeling, Algorithms, Machine Learning, Quantum Computing
2015-2017: 2 Princeton Quant Trading Conference Presentations; 40 Top-10 SSRN Research Rankings: Top 10% SSRN Authors

Professor-Faculty: Computer Scientist, Management Scientist, Information Scientist:
- Computer Science-Telecom-Network Security-Advanced Analytics-OOP Professor (State of New York),
- MBA IT & OR Quantitative Methods-Decision Modeling-Management Science-MIS Professor (Syracuse University),
- MBA & Executive MBA - IT & OR - MIS, e-Business, Knowledge Management Professor (State of Florida).

Top-10 MIS PhD Double Doctorate: IT and Statistics: '45-Cr PhD' Credits in both IT-Quantitative Methods & Statistics-Quantitative Methods: 91 Cr PhD.

- PhD Thesis Field Study: University of Pittsburgh Medical Center (UPMC): Digital Transformation of the UPMC: Quantitative Models.

PRMIA Executive Education: Quantitative Risk Management & Qualitative Risk Management, Kellogg School of Management.
MFE Executive Education: Computational Quant Analytics Financial Engineering C++, Statistics, Maths, University of California Berkeley.
MS* Cybersecurity: Cyber Risk Insurance, Algorithms, Machine Learning, AI & Modeling, Pen Testing Champion.
MS Computer Science: Computational Finance, Algorithms, Machine Learning, AI & Modeling, Cryptography.
MS Quantitative Finance: Derivatives, Stochastics, Securities Pricing, Risk Modeling, Risk Management.
MS* Accountancy: Finance, Auditing, Derivatives, Valuations, Global Financial Crisis: Risk Management.
MBA* Hypermedia Computing, Quant Economics, Advanced Statistics, Econometrics, Quant Modeling Champion.
BE Mechanical Engineering with Distinction: Engineering Design, Electrical Engineering, Physics, Materials Science.
Certifications: C.Eng., CISSP, CISA, CEH, CCP/CDP, CPA-Education, SAS, MATLAB, SAP-ERP, SAP-CRM, AIB/ABA, Kauffman Foundation.
*Top Rank in Program, Outstanding Student Award, Perfect GPA Award, etc.
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Over 20-Years of Global High Impact Hi-Tech Digital Practices Leadership spans Silicon Valley to Seoul and all continents in between.

AACSBAACSB logo

  
Wall Street Journal
  
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.
Worldwide Business and IT Editorial Coverage & Interviews in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.
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New York State Cybersecurity Conference 2016  US Under Secretary of Defense United States Army United States Navy United States Air Force  penetration-testing-and-ethical-hacking

FinTech: Wall Street & IT: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo
Consulting Firms
: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers
Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton
Associations
: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS
World Governments: Australia, Canada, European Union, United Kingdom, United States
U.S. Defense
: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, Marines, NASA, Navy
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)
World Health: World Health Organization (WHO), U.S. Department of Health & Human Services,
European Health Management Association, U.K. Department of Health, UNESCO, UNDP
Larger Sample

British Telecom UK Cisco Systems IBM Intel Corp. Microsoft

U.S. DoD DISA US Air Force Royal Australian Air Force Government of UK, Ministry of Defence Canadian Department of National Defence

Harvard Business School Stanford Graduate School of Business Wharton School Princeton University UC Berkeley Haas School of Business

MIT Sloan School of Management MIT PressHarvard UniversityStanford School of Medicine

Stanford UniversityMIT 50 K Entrepreneurship CompetitionMIT LibrariesYale Law Journal NASA

Fortune Inc. Business WeekNew York TimesWall Street Journal

Forbes Fast CompanyHarvard Business Press Publishing Computer World Information Week InfoWorld CIO Magazine

ForbesBusiness Week San Jose Mercury NewsInfoWorld American Institute of Certified Public Accountants (AICPA) AACSB International

ACM IEEE AACSB International American Society for Training and Development American Bar Association

And Elsewhere...

[Digital Transformation Pioneer] [Computational Quant Finance] [Cyber Security Risk Engineering] [AI, Algorithms & Machine Learning] [FinTech: 'Rethinking Finance']
Dr. Yogesh Malhotra: RESEARCH: Risk Analytics Beyond 'Prediction' to 'Anticipation of Risk': Princeton University Presentations on FinTech CyberFinance
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
2015 & 2016 Princeton Quant Trading Conference Presentations: Computational Quant & Crypto Machine Learning Algorithms,
2008: AACSB International Impact of Research Report: Named among Black-Scholes, Harry Markowitz & Bill Sharpe

*Projects *Goldman Sachs *JP Morgan *Wall Street Hedge Funds *Princeton Presentations *Model Risk Arbitrage *Cyber Finance *Cyber Risk Insurance * Ventures
*Bayesian vs. VaR *Markov Chain Monte Carlo Models *Mobile Trust Models * Pen Testing Frameworks *Bitcoin Cryptanalytics *NFS Cryptanalytics Algorithms
*Research Impact *Future of Finance *Beyond VaR *Model Risk Management *SR11-7 *OCC2011-12 *Future of Risk *Cyber Risk *SSRN *Google Scholar *Publications

RESEARCH IMPACT
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INTERVIEWS IN WORLDWIDE BUSINESS & TECHNOLOGY PRESS: INSIGHTS & FORESIGHTS LEADING GLOBAL PRACTICES
CIO Magazine CIO Insight Inc. Magazine Fortune Magazine Wall Street Journal Business Standard

Dr. Yogesh Malhotra’s recent Computational Quant Analytics post-doctoral research on AI & Decision Modeling and Algorithms & Machine Learning for Uncertainty and Risk Management is the focus of invited research presentations at the 2016 Princeton Quantitative Trading Conference and the 2015 Princeton Quantitative Trading Conference sponsored by Princeton University, Goldman Sachs, Citadel, SIG, and, KCG Holdings. It is also ranked in 40 SSRN Top-10 Research Rankings for 2015-2017 in statistical, econometric, computational, and stochastic modeling techniques by the SSRN research network founded and overseen by professors from institutions such as Harvard Business School. Just based on his Computational Quant Analytics post-doctoral research alone, he is ranked in the Top-10% of Authors on SSRN.

He has served as invited plenary keynote speaker and invited expert for the Government of Switzerland (2016: Switzerland Federal Department of Economic Affairs: Math-Fintech Industrial Research: Mathematics-FinTech-Algorithms: Digital Transformation of Global Banking & Finance); State of New York (2015 & 2016: CyberFinance: Cybersecurity Risk Analytics & Emerging Cyber Financial Threats; Cybersecurity Standards & Practices: Networks, Systems, and, Controls Frameworks); Princeton Quant Trading Conferences (2015 & 2016: Model Risk Arbitrage, Open Systems Finance, Black Hat Finance, Cyber Finance, & Cyber Risk Insurance Modeling; Offensive and Defensive Cyber Risk Management and Penetration Testing - Ethical Hacking) sponsored by Princeton University, Goldman Sachs & Citadel; National Association of Insurance Commissioners (NAIC) (2017: Cyber Insurance Modeling Innovation beyond VaR to Preempt and Prevent Global Cyber Insurance Crisis); Silicon Valley Venture Capitalists & CxOs; the Conference Board National Quality Council of Malcolm Baldrige National Quality Award CxOs; the Institute for Supply Management; United Nations world headquarters Global Economists Expert Panel; and United States Federal Government and world governments, parliaments and cabinets such as Government of Netherlands and Government of Mexico, and national economies such as South Korea in addition to dozens of other worldwide presentations in academia and practice.

He has been called on to advise the US National Science Foundation (NSF), the United Nations (UN),  US & World governments, parliaments, and, cabinets and delivered national keynotes and nationally broadcast print and TV interviews among Knowledge Management pioneers such as Dr. Ikujiro Nonaka, University of California Berkeley Distinguished Professor, and Dr. Charles Lucier, Booz Allen Hamilton Partner & CKO. He has been interviewed among Virtual Organization pioneers such as Hatim A. Tayabji, CEO, Verifone, while he held a PhD research fellowship in mid-1990s.

His Digital Transformation, Computational Quantitative Analytics, AI, Algorithms & Machine Learning, Cyber Security Risk Engineering, and, FinTech: 'Rethinking Finance' focus over the last two decades has been on advancing global Finance-IT-Risk Management industry practices to manage unprecedented and radical Change, Uncertainty, and, Complexity. In aftermath of the Global Financial Crisis, his applied research and practices have advanced top Wall Street investment banking leadership risk management strategies to reflect post-VaR Computational Quantitative Analytics for 'Anticipation of Risk' and Model Risk Management. For instance, his research is advancing execution of SR11-7 and OCC 2011-12 Model Risk Management Guidance of OCC and US Federal Reserve System such as 'anticipation of risks' by 'effective challenge of models'.

His recent Wall Street Investment Banks and Hedge Funds global Banking & Finance industry leadership experience is in leading Computational Quantitative Finance and Computational Quantitative Risk Analytics projects for top Wall Street investment banks with $1 trillion AUM such as JP Morgan Private Bank in midtown Manhattan. Prior to that he founded award-winning influential Digital Transformation ventures with clients and patrons such as top Wall Street and IT firms such as Goldman Sachs, Google, IBM, Intel, Microsoft, and, Ogilvy; top consulting firms such as Accenture, E&Y, McKinsey, and, PwC; and top business schools such as Harvard, MIT, Princeton, Stanford, and, Wharton.

Globally recognized among the pioneers of Digital Transformation and Knowledge Management, he developed and led world's most prominent online portals of practice and largest global communities of practice on Digital Transformation and Knowledge Management before the turn of the century. Having been ranked and recognized among Finance-IT Nobel Laureates such as Black-Scholes and Herbert Simon for real world impact of his research, his post-Snowden era applied research and practices have focused on advancement of FinTech AI-Modeling, Algorithms, & Machine Learning for Crypto-Currencies such as BitCoin and Blockchain Protocol as well as Cryptanalytics leading industry practices of Digital Encryption. His Digital Ventures such as Griffiss Cyberspace have heralded the advent of Cyber Finance and invited research presentations on Future of Finance at Princeton University have pioneered FinTech: 'Rethinking Finance' innovations such as 'Open Systems Finance' and 'Model Risk Arbitrage.'

Advancing on Cybersecurity Risk Engineering & Risk Analytics Practices Guiding US & G5 DoD Commanders & CIOs-CTOs, his recent IT Administration & Networks Administration Cybersecurity-Risk Management leadership advanced industry practices such as Defense-in-Depth Networks, Zero-Trust Cybersecurity Architectures & Networks Segmentation. His industry leadership advanced upon his applied experience as a Computer Scientist leading development of one of the first applied programs merging Defensive Cybersecurity and Offensive Cybersecurity as STEM Computer Science professor of Network Administrators for the State of New York.

As leader of Global Digital Assets, Markets & Exchanges Practices, just after concluding PhD, he was invited for collaboration with the Big-4 firm, Accenture (then Arthur Andersen), Consulting Sr Managing Partners & Practices Founders as a "pioneer" of contemporary Knowledge Management and Business Technology Management Innovation practices to help them advance beyond their industry-leading "Best Practices" enterprise theme. As founder of worldwide Digital Transformation global community of practice with millions of worldwide users, he pioneered and advanced global e-Services and Knowledge Management Digital Transformation practices. As founder and organizer of a global consortium of world's Top 200 Experts-PhDs that included Big-4 CxOs from firms such as Ernst & Young and distinguished professors from institutions such as Kellogg School of Management and INSEAD (France), he published world-leading research guiding Global Enterprise Risk, Operational Risk & Systemic Risk Management Practices.

As a PhD research fellow, he pioneered some of the early globally influential Digital Transformation ventures including world's Top-ranked Digital Research Web site (ranked by Computerworld), Top-3 Search Engine (ranked in Carnegie Mellon Industry.Net National Awards), and Top-10 Social Network (ranked among others such as LinkedIn in global industry surveys). His Digital ventures are recommended and applied by top IT Executives such as Microsoft Founder, Chairman and CEO Bill Gates; top Business Executives such as PwC Vice Chairman and CKO Ellen Knapp; global Banking and Finance institutions; CIOs of NASA / US Army / US Navy / US Air Force / US Air Force Research Lab; and senior leaders at world governments and parliaments such as the European Union and the Australian Parliament.

Before joining University academia as a professor of IT and Operations Research after a PhD field study focused on Digital Transformation of the UPMC (University of Pittsburgh Medical Center), the global Healthcare industry leader, he led the development of Global Financial Systems deployed by worldwide Banking & Finance firms as a global Banking & Finance industry leader for Big-3 Banking & Finance and Big-3 IT firms such as Bank of America across USA, Hong Kong, Mumbai, and, New Delhi.

The real world impact of his scholarly research on worldwide practices is recognized among others such as Finance Nobel laureates Black-Scholes by the AACSB International Impact of Research Report. AACSB research impact recognition coincided with his promotion to Associate Professor at Syracuse University having joined its Martin J. Whitman School of Management as the tenure-track Assistant Professor of Quantitative Methods. His earlier scholarly research is ranked and recognized among Top-50 Business & Economics researchers as well as Information Science and Finance/Economics Nobel laureates in business press, industry surveys & scientific impact studies.

As a professional Management Scientist and Information Scientist, he served as professor of Quantitative Methods and MIS in IT and Operations Research academia and as invited Executive Education faculty for Carnegie Mellon University Graduate School of Industrial Administration and Kellogg School of Management. While an IT and Operations Research MBA Faculty member with the Syracuse University School of Management, he served by invitation on national and global expert panels of the National Science Foundation, and, the United Nations and received the invitation for the Fulbright Canada Visiting Research Chair from the Queen's University. On the occasion of the invitation for the Fulbright-Queen University's Visiting Research Chair in the Management of Knowledge-Based Enterprises, Syracuse University Chancellor and President Nancy Cantor had written the following note of commendation to him:

"Receiving an invitation to compete for this prestigious position is very impressive and reflects the high quality of your scholarly work. I also very much enjoyed reading about your many engagements in the larger global community. You have certainly embraced the spirit of serving the public good and illustrate how a university, as a source and generator of knowledge, can impact other countries and institutions. I congratulate you on your hard work as both a scholar and as a citizen of the world."

While a professor of Quantitative Methods merging IT and Operations Research Decision Modeling at the Syracuse University, as a professional Management Scientist, he led the United Nations global expert panel of economists as the invited Quant expert on National Knowledge Assets Measurement and related Balanced Scorecard Framework. He also served as invited expert on 32 national expert panels of Computer Scientists, Venture Capitalists, and IT Analysts for the US National Science Foundation for allocation of multi-million dollar US federal funds for Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR).

Prior to that, as a professional Information Scientist leading development of one of the first AACSB-accredited Digital Transformation MBA programs merging e-Business and Knowledge Management, he guided the strategic development of Next Generation e-Business Architectures for $100 billion hi-tech firms such as Intel Corporation and global strategic vision for worldwide clients of firms such as British Telecom (UK). Prior to that, he served as one of four founding members and contributing editors for Ziff Davis and led Fortune 500 CIOs and CTOs in global standards development for the Ziff Davis Global Information Infrastructure (GII) Global Standard for Internet Commerce.

While AACSB International Impact of Research Task Force reports "considerable impact on actual practice" of his research among Finance & Economics Nobel laureates such as Black-Scholes, Harry Markowitz, and, Bill Sharpe, premier scientific impact studies in top-tier research journals have ranked and recognized the impact of his research among top Economists, Information Scientists, and, Strategists such as Joseph Schumpeter, Paul Romer, Nobel laureate Herbert Simon, and, Michael Porter. In addition to being included among both Ikujiro Nonaka and Herbert Simon in the top-ranked research impact by the citation impact analysis studies published by the American Society for Information Science & Technology (ASIST), and, the University of Minnesota MIS Research Center, he was among them to be invited as seminal contributors to advancing Knowledge Management by the American Society for Quality, the administrator of Malcolm Baldrige National Quality Program Awards, for their flagship peer-reviewed research journal.

His earlier scholarly academic research on Computational Quantitative Analytics and Quantitative Models has been applied in scientific research pursuits by NASA and Big Banks and his broader research agenda has guided worldwide e-Services and Knowledge Management Digital Transformation. Six years before AACSB highlighted the impact of his research among Finance Nobel laureates in 2008, CNet had conferred Corporate Computing Award on his research on understanding 'Why Knowledge Management Systems Fail?' recognizing it as the most influential research.

His applied research Digital Ventures have won top awards, top rankings, and, editorial reviews as global CEOs, CFOs, CIOs, CROs best practices benchmarks in most known US and worldwide top-tier Information Technology and Information Systems business press journals. His Digital & Analytics ventures are recognized as global benchmarks of practice in worldwide business technology press including Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, and, Chief Executive, etc. and applied by prestigious institutions such as Harvard Business School and MIT.

His research for advancing thought leadership and insights of world's foremost leaders and top executives has been adopted and applied as a standard reference in top universities and business schools of the world such as Harvard Business School MBA Program, Stanford Graduate School of Business and Wharton School, and, included as reference in libraries of institutions such as Harvard, MIT and Princeton. His biography has been selected by invitation for inclusion in biographical profiles of worldwide leaders and achievers from both the United States and around the world in: Marquis Who's Who in America®, Marquis Who's Who in the World®, Marquis Who's Who in Finance & Industry®, and Marquis Who's Who in Science & Engineering®.

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Recent Research Presentations and Research Reports
*Princeton University Presentations on the Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.
*2016 Princeton Quant Trading Conference Invited Research Presentation: Beyond Stochastic Models to Non-Deterministic Methods.
*2015 Princeton Quant Trading Conference Invited Research Presentation: Beyond Risk Modeling to Knightian Uncertainty Management.
*Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
*Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.
*Risk, Uncertainty, and Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management of Cyber Risk Insurance Models.
*Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
*Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites: Beyond Shannon's Maxim.
* Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.
*2015-2016 40 SSRN Top-10 Research Rankings for Computational Quantitative & Risk Analytics Algorithms Machine Learning Research.
* 2008 AACSB International Impact of Research Report: Named among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller

Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures
Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance
2016 Princeton Quant Trading Conference: Invited Research Presentation: Model Risk Arbitrage
2015 Princeton Quant Trading Conference: Invited Research Presentations: Future of Finance
Quantitative Finance Risk Analytics Modeling Wall Street Investment Banks & VC Projects
Model Risk Management: Risk Management Analytics from 'Prediction' to 'Anticipation of Risk'
Quantitative Finance Risk Analytics, Econometric Analytics, Numerical Programming Models
Quantitative Finance Model Risk Management for Systemic-Tail Risks in Cyber Risk Insurance
JP Morgan Portfolio Optimization, VaR & Stress Testing: 17-Asset Class Portfolio
JP Morgan Portfolio Liquidity Risk Modeling Framework for $500-600Bn Portfolio
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Goldman Sachs Alumnus Asset Manager Large-Scale Data High Freq Econometric Models
Quantitative Finance, Risk Modeling, Econometric Modeling, Numerical Programming
Technologies of Computational Quantitative Finance & Risk Analytics and Risk Management
Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing
Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects Impact
Digital Social Enterprise Ventures Creating Trillion $ Practices for Hundreds of Millions

Named among FinTech Finance & IT Nobel laureates for Real World Impact of Research
FinTech Innovations: Model Risk Arbitrage, Open Systems Finance, Cyber Finance, Cyber Insurance
AACSB International Reports Impact of Research among Black-Scholes, Markowitz, Sharpe
Research Impact Recognized among Finance & Information Technology Nobel laureates
40 SSRN Top-10 Rankings: Computational Quant Analytics: Algorithms, Methods & Models
FinTech Innovations: Model Risk Arbitrage, Cyber Finance, Cyber Risk Insurance Modeling
Computational Quantitative Finance Modeling & Risk Management Research Publications
Model Risk Management of Cyber Risk Insurance Models & Quantitative Finance Analytics
Thesis on Ongoing Convergence of Financial Risk Management & Cyber Risk Management
U.S. Federal Reserve & Office of the Comptroller of the Currency Model Risk Guidance
Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
Markov Chain Monte Carlo Models & Algorithms to Enable Bayesian Inference Modeling
OCC Notes Cybersecurity Risk & Cyber Attacks as Key Contributor to Banks' Financial Risk
Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation
Models Validation Expert Panels: IT, Operations Research, Economics, Computer Science

Global, National, & Enterprise CxO Level FinTech-Cyber-Risk Analytics Ventures
CxO Think Tank that pioneered 'Digital' Management of Risk, Uncertainty, & Complexity
CxO Consulting: Global, National & Corporate Risk Management Practices Leadership
CxO Guidance: Cyber Defense & Finance-IT-Risk Management: Uncertainty & Risk
CxO Keynotes: Conference Board, Silicon Valley, UN, World Economy: Uncertainty & Risk
The Future of Finance Project Leading Quantitative Finance Practices at Elite Conferences
The Griffiss Cyberspace Cybersecurity Venture Spans Wall Street and Hi-Tech Research
UN Quantitative Economics Expert Paper & Keynote on Global Economists Expert Panel
National Science Foundation Cybersecurity & Cybercomputing National Expert Panels
Digital Social Enterprise Innovation Ventures Pioneering the Future of Risk and Quant
Global Footprint of Worldwide World-Leading CxO Risk Management Ventures & Practices

2015-2017: 40 SSRN Top-10 Research Rankings: Top-10% SSRN Authors:
AI & Decision Modeling; Algorithms & Machine Learning:
SSRN Top-10 Research Ranking Categories:
• Capital Markets,
• Cognition in Mathematics, Science, & Technology,
• Computational Biology,
• Computational Techniques,
• Corporate Governance: Disclosure, Internal Control, & Risk-Management,
• Cyberlaw,
• Decision-Making under Risk & Uncertainty,
• Econometric & Statistical Methods,
• Econometric Modeling,
• Econometrics,
• Hedging & Derivatives,
• Information Systems & Economics,
• Mathematical Methods & Programming,
• Microeconomics,
• Operations Research,
• Risk Management,
• Risk Management Controls,
• Risk Modeling,
• Stochastic Models,
• Systemic Risk,
• Uncertainty & Risk Modeling,
• VaR Value-at-Risk.
Other Categories:
• Banking & Insurance
• Cultural Anthropology,
• Economics of Networks,
• Innovation Law & Policy,
• Mutual Funds, Hedge Funds, & Investment Industry,
• Sociology of Innovation