The AI Fundamentalists

A podcast about the fundamentals of safe and resilient modeling systems behind the AI that impacts our lives and our businesses.

Contributors

Co-host

Dr. Andrew Clark

Dr. Andrew Clark is a trusted domain expert in ML auditing and assurance. Andrew built and deployed ML auditing solutions at Capital One. He has contributed to ML auditing education and standards at organizations including ISACA and ICO in the UK. He is a key contributor to ISO AI Standards and the NIST AI Risk Management framework. He has also served as an economist and modeling advisor for several prominent crypto-economic projects while at Block Science. He is currently co-founder and CTO at Monitaur.

Andrew received a B.S. in Business Administration with a concentration in Accounting, Summa Cum Laude, from the University of Tennessee at Chattanooga, an M.S. in Data Science from Southern Methodist University, and a Ph.D. in Economics from the University of Reading. He also holds the Certified Analytics Professional and American Statistical Association Graduate Statistician certifications. Andrew is a professionally trained concert trumpeter and Team USA triathlete.

https://www.linkedin.com/in/andrew-clark-b326b767/

Co-host

Sid Mangalik

Sid Mangalik is a Ph.D. candidate in natural language processing at Stony Brook University working with Andy Schwartz. His previous studies focused on the intersection of artificial intelligence and psychology, where he worked with Ritwik Banerjee on language use in scientific writing and among abusers. Sid's previous experience also includes a role at Capital One as a Data Engineer.

His current research is working on identifying connections between community-level language and psychological outcomes. He is a Research Scientist at Monitaur, a start-up focused on making AI and supporting machine learning models fairer, safer, and more transparent.

https://www.linkedin.com/in/sid-mangalik/

Co-host

Susan Peich

Susan Peich is a producer and part-time co-host of The AI Fundamentalists. With over 20 years of user experience and information design via product development, web experience, and global marketing, she is exploring responsible and ethical AI through the fundamentals of outside-in design. She is also the head of marketing for Monitaur.

https://www.linkedin.com/in/susanpeich/

Guests

Guest

Anthony Habayeb

Anthony Habayeb is CEO and co-founder of Monitaur, a leading AI governance software company. Monitaur enables its customers to deliver responsible AI and critical models that business leaders, regulators and consumers can trust. Habayeb brings a wealth of experience from his strategic consulting days at Accenture and executive roles at Gannett, Monster, and Yahoo. He also advises AI companies globally and in Boston’s thriving ecosystem.

https://www.linkedin.com/in/anthonyhabayeb/

Guest appearance on:

Responsible AI: Does it help or hurt innovation? With Anthony Habayeb

Guest

Christoph Molnar

Christoph Molnar is on a mission to make algorithms more interpretable by combining machine learning and statistics. He is the curator of the Mindful Modeler newsletter and author of several easy-to-read data science books. These books include Modeling Mindsets, Interpretable Machine Learning, and Intro to Conformal Prediction with Python, and co-author of Supervised Machine Learning for Science: How to stop worrying and love your black box" with Timo Freiesleben.

https://christophmolnar.com/

Guest appearance on:

Guest

Joshua Pyle, FCAS

Josh Pyle is an actuarial expert with nearly 18 years of technical professional and executive leadership experience spanning actuarial science, machine learning, optimization, probability & statistics, catastrophe modeling, pricing, capital modeling, risk management, competitive intelligence, gig/sharing economy, captive management, and SaaS product management.

https://www.linkedin.com/in/joshua-pyle-fcas-b88bb52a/

Guest appearance on:

Managing bias in the actuarial sciences with Joshua Pyle, FCAS

Guest

Matt Barlin

As a data and engineering consultant, Matt specializes in developing the mathematical constructs behind Crypto economics. Working on a variety of data analysis, mathematical modeling, and control system designs.

Currently the Chief Science Officer at Valence, he has enjoyed successful careers as a naval architect and an educator, with experiences in manufacturing at shipyards, testing at model basins, and producing results in laboratories.

https://www.linkedin.com/in/matthew-barlin/

Guest appearance on:

Data lineage and AI: Ensuring quality and compliance with Matt Barlin

Guest

Patrick Hall

Patrick Hall is the principal scientist at HallResearch.ai. He is also an assistant professor of Decision Sciences at the George Washington University School of Business and serves on the board of directors for the AI Incident Database.

Check out "Machine Learning for High-Risk Applications: Approaches to Responsible AI ”

https://www.hallresearch.ai/team-patrick-hall/

Guest appearance on:

Exploring the NIST AI Risk Management Framework (RMF) with Patrick Hall

Guest

Rachel Losacco

Rachel Losacco is an astrophysicist who has worked with major galaxy formation simulations for many years. She hails from Leiden University and the University of Florida and now works as a Senior Data Scientist where she works on modeling road safety.

https://astro.ufl.edu/directory/rachel-losacco/

Guest appearance on:

Complex systems: What data science can learn from astrophysics with Rachel Losacco

Guest

Timo Freiesleben

Timo Freiesleben is the co-author of Supervised Machine Learning for Science: How to stop worrying and love your black box with Christoph Molnar. Timo is a postdoc in the philosophy and ethics group at the University of Tübingen. He is also a member of the LMU Munich team, where he finished his PhD and worked on explainable AI systems.

https://freieslebent.github.io/