Bob Carpenter
Attorney Business Consultant at Carpenter Law
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolBob Carpenter is an attorney and business consultant with over four decades of corporate, government and military experience advising C-suite leaders on complex transactions, risk management and regulatory strategy. He has served on executive teams across industries—including financial services, IT and renewable energy—and handled high-stakes matters from bank receiverships at the FDIC to special-situation financings and M&A. A retired U.S. Navy Captain, he pairs operational leadership and international capacity-building experience with deep securities and banking law expertise (LL.M., Georgetown). More unusually for a senior legal advisor, he contributes to open-source Bayesian tooling—implementing advanced numerical routines and probabilistic inference support in the widely used Stan project—demonstrating strong technical acumen in statistical computing. Known as a consensus builder and mentor, he has created internal legal policies that drive business outcomes while guiding teams through distressed and defaulted asset situations. Based in New York, he blends litigation, transactional and technical fluency to solve regulatory and operational challenges for complex organizations.
11 years of coding experience
4 years of employment as a software developer
Master of Laws (LL.M.), Securities Regulation, Master of Laws (LL.M.), Securities Regulation at Georgetown UniversityDoctor of Law (J.D.), Doctor of Law (J.D.) at University of Alabama
French
Stackoverflow
3,663reputation
245kreached
47answers
5questions
statistics
top-1%
Github Skills (27)
c-language10
mathematica10
mathematics10
statistics10
complex-numbers10
math10
maths10
bayesian10
eigen10
mathlib10
stan10
cprogramming-language10
bayesian-inference10
math-library10
numerical-optimization9
Programming languages (14)
Github contributions (5)
stan-dev/stan
Aug 2020 - Nov 2022
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:51 reviews, 23 commits, 260 PRs in 2 years 3 months
Contributions summary:Bob contributed significantly to the Stan development repository, specifically focusing on the `laplace_sample` service. Their work involved implementing and refining the `laplace_sample` functionality, including parameter validation, mode size checks, and integrating the Hessian calculations. They also incorporated error handling and refresh-sensitive logging, demonstrating a focus on code robustness and user feedback. Further contributions included setting up tests for the `laplace_sample` service, ensuring its correct functioning within the Bayesian inference context.
bayesian-inferencestanmasterbayesian-statisticsdetails
stan-dev/math
Mar 2020 - Aug 2022
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
Role in this project:Back-end Developer
Back-end DeveloperContributions:92 reviews, 84 commits, 195 PRs in 2 years 5 months
Contributions summary:Bob contributed to the Stan Math Library, focusing on implementing complex number functions and algebraic solvers. They made changes to the code involving complex number operations, including norm, arg, conj, proj, exp, sqrt, log, log10, pow, sinh, cosh, tan, asinh, acosh, asin, acos, and atan. The user also made modifications to algebraic solvers, specifically involving fixed point solvers and their implementation using the KINSOL library.
automatic-differentiationprobabilistic-modelingsundialsmodestemplate-library
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