AIMLExchange™ Global Risk Management Network, LLC, New York, U.S.A.: We create the Digital Future.
25-Years Building & Leading Worldwide CEO-CIO-CTO-CRO Practices, Technologies, Teams & Ventures:

AI-Machine Learning, and, Cybersecurity & Cryptography Practices applied with global industry-leading
Risk Engineering & Risk Management focus on Digital, Quant, Cyber, Crypto & Quantum Technologies.

Post-Doctoral R&D: AI-Machine Learning, Cybersecurity-Cryptography, Computer Science, Quant Methods.
Top-10 PhD, MSCS, MSNCS, MSQF, MSAcc, MBAEco, BEngg, CEng, CISSP, CISA, CEH, CCP, CPA Education.

Marquis Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
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AIMLExchange™: AFRL-USAF HQ : MIT AI-ML : Princeton : Goldman Sachs-JP Morgan :Research: SSRN
US Air Force HQ AI-Machine Learning Commercial Exchange: Pioneering Future of Artificial Intelligence: To Save the World.
Latest Interview: Beyond Innovator's Dilemma to Innovator's Insight: Looking Beyond Data to Business Performance.
Are You a CEO Team Pioneering Digital Futures? Let's help you by subsidizing 90% of our Consulting Costs just for you.

Impact: [AI & Machine Learning : Cybersecurity & Cryptography : Quantitative Finance & Trading : Digital Transformation]
Latest R&D: MIT, Princeton, New York State: 2016, 2019, AFRL, AFCEA C4I, CFA Society, Capco, RISK.Net, NAIC.
Expert Panels: ACMIEEESociety of ActuariesSociety of Modeling & SimulationTop Journals & Conferences.
AACSB: Research Impact among Finance Nobel Laureates Black-Scholes, Markowitz & Sharpe: Uncertainty & Risk Management.

 AFRL Commercialization AcademyMIT Sloan School of Management Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education MIT Computer Science & ArtificialIntelligence Laboratory CSAIL Artificial Intelligence (AI) & Machine Learning Management and LeadershipExecutive Education    Princeton University   Goldman Sachs JP Morgan Asset Management

CEO-CIO-CTO-CRO-CFO Strategy to Execution Leader: Digital Transformation Pioneer:
Expert Panels: National Science Foundation Computer Scientists, United Nations Global Economists.
Advisor: Big-4 Sr. Partners, $100 B Hi-Tech Firms, Silicon Valley VCs-CEOs, US & World Governments.
Global Financial Systems Leader, Big-3 Finance-IT, Wall Street Banks-Hedge Funds $1 Trillion AUM.
Pioneer: Worldwide Digital Practices: Clients-Patrons: Goldman Sachs, Google, IBM, Intel, Ogilvy,...
Founder: Top Digital Site, Top-3 Search Engine, Top-10 Social Network: Largest Finance-IT Clients.  

Where AI-Machine Learning-Deep Learning Meet Cyber Security, Cryptography, Telecommunications Engineering & Computational-Quantitative Analytics applied to Digital, Quant, Cyber, Crypto, Quantum Technologies, Practices & Ventures by CEO-CxO Teams. 

Dr. Yogesh Malhotra,New York,USA  Dr.Yogesh.Malhotra at gmail.com  SSRN  Google Scholar    LinkedIn: We create the Digital Future™

Inc. Magazine Interview Fortune Magazine Interview CIO Magazine Interview The Wall Street Journal Interview The New York Times
Business Week
Fast Company Computerworld Information Week

MIT-Princeton: Goldman Sachs-JP Morgan: AFRL-USAF HQ: UPMC: Big 3 IT-Banking:
CEO-CIO-CTO-CRO-CFO Strategy to Execution Leader: Digital Transformation Pioneer:

AI-Machine Learning; Cybersecurity-Risk Engineering; Quantitative Finance-Trading;
Crypto-Blockchain; Cloud Computing; Cognitive Computing; Quantum Computing


“Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice...”
- Dr. Yogesh Malhotra in Fortune Interview, June 1998.

SUMMARY

MIT-Princeton Industry Expert leading global CEO-CIO-CTO-CRO Practices, Technologies, Ventures, Teams with global reviews as Digital Pioneer in Business Week, Wall Street Journal, Fortune, Inc., Fast Company, New York Times, CIO, Computerworld, Information Week. R&D Impact among Finance-IT Nobel Laureates. 25-years CEO-CIO building-leading global CEO-CxO Ventures, Technologies, Practices adopted worldwide by Silicon Valley VCs-CEOs; IT leaders such as Microsoft founder Bill Gates; US DoD-DISA-AFRL, Army, Navy, Air Force CIOs: As CEO-CIO-CTO built-led world’s largest Global Digital Transformation network with clients-patrons such as British Telecom (UK), Goldman Sachs, Google, IBM, Intel, Microsoft, Ogilvy, Philips (Netherlands); NSF, US Federal Government, world governments, nations such as Switzerland, Netherlands, Mexico & S Korea. Chief AI-ML Strategist-Chief Data Scientist leading CEO-CxO teams pioneering global Blockchain, Cloud Computing, FinTech, e-Healthcare, HR ventures & USAF HQ AI-ML commercial Exchange with Secretary of USAF as client for DoD-wide AI enablement. Prior to that retained by CEO of GIBC Digital as Managing Director to head $1 Billion Global AI-Machine Learning Center. Before that retained to execute CEO vision of Amazon-like Data-Driven Enterprise Analytics-Intelligence for New York Banking firm. Prior to that CISO role pioneering Zero Trust Architectures and Network Segmentation practices for State of New York as Offensive-Defensive Cyber Security industry practices leader. Before that Quant Risk Modeling & Risk Management Leader for top US investment banks and hedge funds with $1 Trillion AUM such as JP Morgan Private Bank and Goldman Sachs alumnus firm leading Managing Directors for JP Morgan Global Head of Quantitative Research & Analytics & US Head of Portfolio Management. Prior to that PhD - CIO Digital Transformation of UPMC & led Big-3 Banking-IT firms across USA, Hong Kong, India building global financial systems deployed worldwide.

 

Global High Impact Hi-Tech Digital Transformation Leadership
Spans Silicon Valley to Seoul and All Continents in Between.

AACSB

AACSB logo

AI-ML-KM R&D Impact among Finance & IT Nobel Laureates in AACSB and Scientific Impact Studies.
  
Wall Street Journal
  
AI-ML-KM
Tech Ventures leading Global AI, Machine Learning, Advanced Analytics, Blockchain, Cloud Computing, Digital-Quant-Cyber-Crypto-Quantum Practices.
Worldwide Business and IT Editorial Coverage & Interviews as Global Industrial Benchmark in
Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.

 

PROFILE

Digital Transformation Pioneer Leading AI-ML-Cyber-Quant Innovations

“Knowledge Management is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about...”
- Dr. Yogesh Malhotra in Inc. Technology Interview, 1999.

25-Yr AI-Machine Learning-Cyber Algorithms, Data & Models Governance track record leading industry practices ranked for real world impact among Nobel laureates such as Black-Scholes: MIT AI-Machine Learning (ML) AI & Business Strategy program for Leadership & Management; Princeton Quant Trading & FinTech Conferences sponsored by Citadel and Goldman Sachs on AI-ML Governance, Model Risk Management, and, Model Risk Arbitrage; CFA Society Keynote on Auto-ML for Model Risk Management and Uncertainty Management from Goldman Sachs to JP Morgan; Capco Journal of Financial Transformation Alternative Capital Markets and Alternative Risks article on AI-ML Augmentation for Cyber Risk Management; forthcoming New York State Cybersecurity presentation on AI-ML Governance by AI-ML Augmentation; prior New York State Cybersecurity presentation on Anticipatory Risk Analytics for Model Risk Management;  AFCEA C4I & Cyber Conference Presentation on AI-ML Governance for Generative Adversarial Networks (GANs); National Association of Insurance Commissioners (NAIC) Expert Paper on Model Risk Management beyond Value-at-Risk (VaR); and, RISK.Net Journal of Operational Risk article on Integration of Systems, Networks, and, Controls Industry Standards for IT Risk Governance.

Digital Transformation Pioneering AI-ML-Cyber-Quant CEO-CxO Practices

“The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible anticipation-of-surprise model.”
- Dr. Yogesh Malhotra in CIO Magazine Interview, 1999.

25-Yr Track Record of AI-ML-Cyber Risk Management Algorithms-Data-Models Governance leadership of practices spanning Global Banking & Finance, Healthcare, and, National & Global Cyber Defense: leading global Big-3 Banking & Finance and Big-3 IT Global Financial Systems (GFS) firms such as Bank of America and Crédit Agricole Group as Algorithms Strategist Lead and Global Financial Systems Projects-Teams Leader; CEO-CIO-CTO-CKO of global Digital Ventures with worldwide clients-patrons such as Goldman Sachs, Google, IBM, Intel, Microsoft, Ogilvy; advancing Algorithms, Data & Models Governance as Quantitative Risk Management Leader of Wall Street investment banks with $1 Trillion AUM such as for JP Morgan Managing Directors and Portfolio Managers with focus on Portfolio Liquidity Risk Modeling, and, Portfolio Optimization, VaR & Stress Testing, and, 400 State Street Associates Trading-Hedging Risk Modeling Strategies for Goldman Sachs alumnus Systematic Hedge Fund; advancing PRMIA CCRM Curriculum to include VaR, T-VaR (Expected Shortfall), and, Extreme Risks; leading Cyber Risk Governance by enabling Zero-Trust-Architectures and Network Segmentation for State of New York Government Administration as CISO (Chief Information Security Officer) Leader for IT Administration and Networks Administration; developing Enterprise Analytics as the Business Intelligence & Data Science Enterprise Leader CAO (Chief Analytics Officer) role for New York Banking firm; leading GIBC Digital as global Managing Director of AI and Machine Learning Strategies including Cybersecurity and Business Processes Optimization. Recent AI-ML-Cyber CxO roles include leading CEO-CxO teams pioneering global Blockchain Cloud Computing platform and global derivatives trading Robo Advisor platform as Chief AI-Machine Learning Strategist and building Top-10 AFRL Commercialization Academy Global & National Cyber Defense AI-ML venture pivoted into USAF commercial AI-ML Exchange as Chief Data Scientist for CEO-CxO team leading USAF HQ projects. Prior UPMC CIO Digital Transformation PhD models of Digital Innovation adopted and applied by NASA and Big Banks.

Digital Transformation Pioneering Human Oriented AI-ML-Cyber-Quant Practices

“The synergy of 'smart minds' and 'smart technologies' provides a basis for defining agile and adaptable supply chain networks that can withstand the challenges of a radically changing business environment.”
- Dr. Yogesh Malhotra in Institute for Supply Management Interview, July, 2002.

25-Yr Strategic, Operational, and, Tactical Leadership of AI-ML-Cyber Global and National Information Infrastructures as CEO-CxO building and leading global CEO-CxO Practices, Teams, Technologies, and, Ventures in AI-Machine Learning, Cybersecurity-Systems Engineering, Business Intelligence & Data Science, Knowledge Management, and, Finance-IT-Cyber Risk Management. Practices adopted and recommended by IT leaders such as Microsoft founder Bill Gates; CIOs of U.S. Army, Navy, Air Force, and, Marine Corps; and, Big-4 Consulting CxOs. As CEO-CIO-CTO, built and led world’s largest global Digital Transformation network with millions of worldwide users, over 130,000 active contributors, and, a team of 200 PhD. Global visionary and evangelist for supply chain partners and business enterprise customers for global hi-tech firms such as Intel Corporation, British Telecom (UK) and Philips (Netherlands). Global and national Digital Transformation expert for worldwide nations through United Nations world HQ, U.S. Federal Government [as Council Partner] and world governments and nations such as Switzerland, Netherlands, Mexico, and, South Korea. CEO-CIO-CTO Interviews and editorial reviews of built ventures and practices as industry benchmarks in global Business-IT press including CIO Enterprise, CIO Insight, Wall Street Journal, Fortune, Inc., Fast Company, Business Week, New York Times, Computerworld, Information Week, etc.

 

Digital Transformation Pioneering AI-ML-Cyber-Quant STEM Innovations & Practices

“Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice...”
- Dr. Yogesh Malhotra in Fortune Interview, June 1998.


• AACSB: Research Impact among Finance-IT Nobel Laureates: Black-Scholes
• MIT Industry Expert: Artificial Intelligence-Machine Learning
• Princeton Presentations: Quant Finance-Trading-FinTech-Cyber-Crypto
• NSF-ACM: Expert: Computer Science, Cyber Security, FinTech, NIH
• NAIC Expert: Cyber Risk Insurance
• United Nations HQ: Quant Economist Expert
• Expert: ACM, IEEE, AFCEA, CFA, Silicon Valley VCs-CEOs, Wall Street Banks, US-World Governments, UN, Conference Board, ISM®

25-Yrs leading CEO-CIO-CFO-CRO Practices, Teams, Ventures:
AI-Machine Learning-Finance-IT-Cyber-Risk Management
• CEng,CISSP,CISA,CEH;CCP,CPA Education.
• CEO: AI-Machine Learning, Quantum|Crypto|Cyber Security, Quant Finance-Trading
- Goldman Sachs, Google, IBM, Intel; JP Morgan-Wall Street Hedge Funds $1T AUM
• CEOs-CxOs Leader: AI-ML-BlockChain-Cloud-Crypto Ventures
• GIBC Digital AI-ML Managing Director
• JP Morgan MDs-Quants Teams Leader-Advisor
• New York State CISO-Expert
• Banking: Enterprise Data Science Leader
• Big-3 Banks: BofA; Big-3 IT: Software Teams Leader
• Teams: upto 130,000 members
• Recommended by Harvard MBA, Bill Gates-Microsoft, US DoD-CIOs
• Press-Interviews: Business Week, CIO, Computerworld, Fast Company, Fortune, Inc, New York Times, Wall Street Journal...

• Post-Doc R&D AI-Machine Learning: Uncertainty & Risk Management
-AI, Machine Learning, Cybersecurity & Cryptography, Computer Science, Quant Methods, Quant Finance, Quant Trading
- 64 SSRN Top-10 Research Rankings: SSRN Top 2% Authors

• Carnegie Mellon-Kellogg Executive Education Faculty
• Professor: Computer Science, CyberSecurity, IT, Operations Research, Quantitative Methods
• Top 10 MIS PhD IT-Statistics-HCI-AI-ML-KM: UPMC CIO
• MSCS,MSNCS,MSQF,MSAcc,MBAEco,CEng

Software Engineer: World Rankings
•Digital Transformation Pioneer: GII-NII
•Top Digital Site: Computerworld
•Top-3 Search Engine: Carnegie Mellon Industry.Net Awards
•Top-10 Social Network: Among others such as LinkedIn: Global Surveys

•Marquis Who's Who®:
Who's Who in America®
Who's Who in the World®
Who's Who in Finance & Industry®
Who's Who in Science & Engineering®


Global Risk Management Network, LLC,
New York, USA.

Where AI-Machine Learning-Deep Learning Meet Cyber Security, Cryptography, Telecommunications Engineering & Computational-Quantitative Analytics applied to Digital, Quant, Cyber, Crypto, Quantum Technologies, Practices & Ventures by CEO-CxO Teams.

Managing ChangeUncertainty, and Complexity through People-Process-Technology
Enabling Organizational and CEO-CxO Performance for over 25-years beginning with the WWW

AIMLExchange Logo
AIMLExchange™: We create the Digital Future™
AI-Machine Learning (ML): 25-Years and Onward:
Leading Global Digital Transformation: Continuing Evolution:

Pioneering AI-ML R&D started with the first WWW browser resulted in our world's Top Digital Site, Top-3 Search Engine, and, Top-10 Social Network culminating into world's Largest Digital Transformation Network with clients-patrons such as Goldman Sachs, Google, Intel, IBM, Microsoft, MIT, and, Harvard. Ongoing R&D advanced the global Computational Quant Risk Management and Risk Modeling practices of top Wall Street Investment Banks and Hedge Funds with $1 Trillion AUM such as JP Morgan. Building on AI-ML and Network Security industry leaderships, R&D pioneered global 'Cyber Finance' and 'Model Risk Arbitrage' practices guided by top Computer Science-Cyber Security experts from SUNY, New York State Cyber Research Institute, and, US Air Force Research Lab. Invited R&D presentations over recent four years at Princeton Quant Trading and FinTech-Crypto Conferences were sponsored by top investment banks and hedge funds such as Goldman Sachs and Citadel. Over recent two years, related Industry Expert roles for the MIT AI-Machine Learning Management and Leadership for MIT Sloan School of Management and MIT Computer Science and AI Lab advanced AI, ML, Deep Learning, Natural Language Processing (NLP), Robotics, and, Robotic Process Automation (RPA) practices for worldwide firms. Related R&D further advanced the Human-Centered AI and AI-Augmentation practices originally pioneered over 20-years ago having been inspired by AI-Genetic Algorithms pioneer Dr. John Holland. Advancing upon CEO-CIO-CTO-CISO-CRO-CFO-CxO practices developed over prior 20 years, recent global CEO-CxO leadership roles are pioneering AI, Machine Learning, Cyber Security, Cryptography, and, Advanced Computational and Quantitative Analytics driven Blockchain, Cloud Computing, Cryptocurrency, FinTech, e-Healthcare, and, e-HR technologies, ventures, and practices. Invitation to build and head billion-dollar global AI-Machine Learning Center for the CEO-CxO leadership team from world's largest hedge fund and investment banks advanced early CEO-CxO national and global practices pioneered for the National Information Infrastructures and Global Information Infrastructures. Air Force Research Lab Commercialization Academy venture of Spring 2019 has become the United States Air Force (USAF) Headquarters AI and Machine Learning Exchange being built in collaboration with the USAF leaders with the Secretary of USAF as the client for U.S. DoD-wide AI & ML Technologies advancement. Subsequent Air Force Research Lab Commercialization Academy venture of Fall 2019 is further advancing the technologies, practices, and ventures building the future of robust and resilient AI-ML infrastructures advancing beyond Autonomous Enterprises (1990s-) to Autonomous Ground Transportation (2017-), and, Autonomous Space Transportation: (2018-).

CyberspaceOrganizations

"In his latest book, Knowledge Management and Virtual Organisations, KM luminary, Dr. Yogesh Malhotra, offers some cautionary advice. He exposes three myths often associated with KM solutions."
- Microsoft

Microsoft

CyberspaceBusinessModels
"Knowledge Management and Business Model Innovation brings together the latest thinking on issues at the forefront of teaching innovation and professional imagination."
- M. Lynne Markus
, Professor and Department Chair of Electronic Business, City University of Hong Kong
city-university-hong-kong
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PROJECTS PORTFOLIO
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AI-ML-Computer Science-Quant Finance-Cryptography-Cyber Security Engineering Strategy to Execution:
Hi-Tech R&D Leading World-Leading Global AI-Machine Learning and Cyber, Finance, IT, Risk Practices

AI-Machine Learning, Cybersecurity-Cryptography, Quant Finance-Trading, Blockchain-Cloud Computing.
MIT-Princeton AI-ML-FinTech Expert: NSF Cybersecurity Expert: AI-Machine Learning MD : JP Morgan Quant : NYS CISO

2015-2019: 65 SSRN Top-10 Research Rankings: Top-2% SSRN Authors:
AI, Algorithms & Machine Learning; Anticipatory & Predictive Analytics:
Computer Science, Cybersecurity, Insurance, Quantitative Finance & Trading

Recent Research Presentations and Research Reports

*US Air Force HQ AI-Machine Learning Commercial Exchange: Pioneering Artificial General Intelligence: To Save the World
*AFRL Commercialization Academy: Building the Future of Artificial General Intelligence: Griffiss Cyberspace & Drone™
*MIT Computer Science & AI Lab AI-Machine Learning Executive Guide: AI, ML, DL, NLP, RPA & Cognitive Automation.
*Princeton University Quant Trading & FinTech Crypto Conferences Presentations: Sponsors: Goldman Sachs, Citadel .

*2019 Journal of Financial Transformation: Alternative Capital Markets: AI-ML Augmentation & Cyber Risk Management.
*2019 New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Preempting Cyber Risk of Deep Fakes.
*2016 New York State Cyber Security Conference: Advancing Beyond Predictive to Anticipatory Risk Analytics.
*2018 CFA Society Keynote: JP Morgan & Goldman Sachs Practices Case Studies: Model Risk Management with Auto-ML.
*2018 AFCEA C4I Cyber Conference: Cybersecurity Risk & Uncertainty Management: AI-ML Risk Management Controls.
*2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
*2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
*2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era.
*2015 Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
*2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
*2017 National Association of Insurance Commissioners Expert Paper, Cyber Risk Insurance beyond VaR Models.
*2017 IUP Journal of Computer Sciences, April, Quantitative Modeling of Trust and Trust Management Protocols.
*Stress Testing for Cyber Risks: Cyber Risk Insurance Modeling beyond Value-at-Risk: Risk, Uncertainty, & Profit.
*Toward Integrated Enterprise Risk Management, Model Risk Management & Cyber-Finance Risk Management.
*Bridging Networks, Systems and Controls Frameworks for Cybersecurity Curricula & Standards Development.
*Advancing Cognitive Analytics Using Quantum Computing for Next Generation Encryption.
*Invited Princeton Quant Trading Presentations: 'Rethinking Finance' for the Era of Global Networked Digital Finance.
*
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to MRM.
*A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols.
*CyberFinance: Why Cybersecurity Risk Analytics Must Evolve to Survive 90% of Emerging Cyber Financial Threats.
*Beyond 'Bayesian vs. VaR' Dilemma: How to Manage Risk (After Risk Management Has Failed) for Hedge Funds.
*Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-at-Risk (VaR).

*Markov Chain Monte Carlo Models for High-Dimensionality Complex Stochastic Problems in Network Security.
*Risk, Uncertainty, & Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management in Cyber Risk Insurance.
*Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
*Number Field Sieve Cryptanalytic Algorithms for Most Efficient Prime Factorization on Composites: Beyond RSA 1024.
*Future of Bitcoin & Statistical Probabilistic Quant Methods: Global Financial Regulation: Hong Kong Institute of CPAs.
*Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' based Global Crypto-Currency Payment Systems.
*2015-2019 64 SSRN Top-10 Rankings: Computational Quant & Risk Analytics Algorithms Machine Learning Research.
*2008 AACSB International Impact of Research Report: Among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller.

Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures

US Air Force HQ AI-Machine Learning Commercial Exchange: Pioneering AGI To Save the World
AFRL Commercialization Academy: Building the Future of AGI: Griffiss Cyberspace & Drone™.
MIT Computer Science & AI Lab AI-Machine Learning Executive Guide: AI, ML, DL, NLP, RPA.
Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.

2019 Journal of Financial Transformation: Alternative Capital Markets: AI-ML Augmentation & Cyber Risk Management.
2019 New York State Cyber Security Conference: AI-ML-GANs-DeepFakes: Preempting Cyber Risk of Deep Fakes.
2018 CFA Society Keynote: JP Morgan & Goldman Sachs Practices Case Studies: Model Risk Management with Auto-ML.
2018 AFCEA C4I Cyber Conference: Cybersecurity Risk & Uncertainty Management: AI-ML Risk Management Controls.
2018 MIT Sloan-Computer Sc. & AI Lab AI-Machine Learning Executive Guide including RPA & Cognitive Automation
2018 Princeton FinTech & Quant Conference: Invited Research Presentation: AI-Machine Learning-Deep Learning MRM.
2018 Journal of Operational Risk, March: Toward 'Cyber-Finance’ Cyber Risk Management Frameworks of Practice.
2017 National Association of Insurance Commissioners: Expert Paper: Cyber Risk Insurance Modeling
2016 Princeton Quant Trading Presentation: Beyond Model Risk Management to Model Risk Arbitrage for FinTech Era.
2015 Princeton Quant Trading Presentation: Future of Finance Beyond 'Flash Boys': Managing Uncertainty.
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
Impact: Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects
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
64 SSRN Top-10 Rankings: AI, Algorithms & Machine Learning; Cybersecurity; Computer Science, Quant Finance-Trading
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

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