Wayne B. Shoumaker is a graduate of the University of California at Berkeley, with a Ph.D. in Quantitative Psychology. He double-majored in Operations Research and Industrial Engineering, with a complementary background in Statistics and interest in the design, function and application of electronic components. He has a Masters degree in Experimental Psychology. He is an applied statistician, data scientist, expert programmer, and financial risk manager. He is also a California Bar-certified attorney, with all of its attendant fiduciary and ethical responsibilities, and he is certified as a data privacy professional.

Dr. Shoumaker has worked within the healthcare, pharmaceutical, brokerage and, most recently, the banking industries. He is familiar with a wide variety of traditional and machine learning model applications which pertain to the Dodd-Frank Act (e.g., CCAR) and the Basel II Accord, the FCRA (e.g., credit scoring and fraud), the FTC Act (e.g., marketing), fair lending remediation activities, operational risk, and various financial crimes, particularly with fraud. He is also familiar with a cross-section of such applications that involve natural language processing (NLP). Dr. Shoumaker has managed teams involved more recently with enterprise risk management of financial models constructed with AI and machine learning methods, and he understands the regulatory oversight and policy-mandated management of such models.

Legal ethical rules of California and of most other states prohibit the operation of a business in partnership between attorneys and non-attorney domain experts, where legal services are provided. Dr. Shoumaker offers a one-stop shop for business model management, but new technologies are always around the corner and even he doesn’t know everything; he can offer collaboration or referrals for situations that call for additional expertise related to the services he offers.

Disclaimer: Intellectual property that is or has been presented to or prepared by Dr. Shoumaker, which is neither recognized as publicly available nor owned by him, remains confidential to the rightful owners.

Website revised December 22, 2024