Podcast Atlas
entity Updated 2026-08-18 Tags: Podcast, Data-Science, Ai

Data Science With Sam

EP 12: Insightful Conversation with a Football Analytics Professional adds a sports analytics branch, with Sam interviewing Anna D’Souza on Sports Analytics, Football Analytics Modernization, Sports Analytics Stakeholder Communication, Data-Driven Football Scouting, Athlete Data Privacy Governance, Football Event and Tracking Data, and Sports Predictive Modeling.

EP 9: ChatGPT and Education Systems adds an education-systems branch, with Sam interviewing Joseph Strader of GoCyber Academy on ChatGPT, AI Academic Integrity, Teacher AI Augmentation, Teacher AI Literacy, AI As Tutor, and K-12 Computer Science Access.

EP 8: Implementation of AI in scientific research adds a biomedical computational-biology branch, with Sam interviewing Lucas Simon on Bioinformatics, Computational Biology, sequencing pipelines, gene expression matrices, Single-Cell RNA Sequencing, Biomedical Deep Learning, and autoencoder representations at Baylor College of Medicine’s Therapeutic Innovation Center.

EP 7: Data Science & MLOps adds a production-ML branch, with Sam interviewing Aaron Blythe on MLOps, Machine Learning Engineering, Data Engineering For Data Science, Production ML Feedback Loops, ML CI/CD, Integrated ML Teams, and Data Scientist MLOps Fluency.

EP 6: Data Science & AI Talk adds an academic AI research branch, with Sam interviewing Paulina Nemkova on Nontraditional AI Research Path, Academic AI Research Role, AI Research Literature Currency, EEG Brain Reading, Research Replication Integrity, and Crypto Time Series Analysis.

EP 5: Implementation of Data Science in Cybersecurity adds a consumer-cybersecurity branch, with Sam interviewing Benjamin Larson on Cybersecurity Data Science, Cybersecurity Simulation Modeling, Social Engineering NLP, Authentication Risk Modeling, and Security Data Access Constraint at Verizon.

EP 4: A.I. talk with a Rocket Scientist from NASA adds a NASA and space-AI branch, with Sam interviewing Kofi Browning on NASA Career Pathways, Mission-Driven Government Engineering, Spaceflight AI Dataset Scarcity, Space Imagery AI, EVA Glove Inspection AI, and AI Model Bias Governance.

EP 3: Demystifying the Imposter Syndrome adds a professional-confidence branch, with Sam and Stephen Mathis discussing imposter syndrome, Capability Gap Self-Diagnosis, External Feedback Self-Calibration, Fair Comparison Frames, Progress Tracking Self-Assessment, and Dunning-Kruger overconfidence.

Data, Risk, and Actuarial Science in Insurance adds another Data Science With Sam episode, with Sam interviewing Mary Pat Campbell about Actuarial Science, Actuarial Data Quality, Actuarial Standards of Practice, and Insurance Model Regulatory Constraint in insurance.

Data, AI, and Scientific Research: A Coffee Chat identifies Data Science With Sam as the podcast/show context for a first Coffee Chat on data, AI, and scientific research. The episode uses Sam, Effie, and Mossam to connect data science with biology, chemistry, radiochemistry, and biomedical imaging.

The show page’s role in the wiki is source-scoped: it marks practical data-science conversations rather than a company or research lab. The first entry adds a grounded AI For Science branch focused on Experimental Science Data Quality, Bioinformatics Domain Gap, and Human-Driven Scientific AI, the NASA episode adds a space-AI branch where dataset scarcity and safety review shape use cases, the actuarial episode adds a regulated-insurance branch where model usefulness depends on data meaning, standards, and actionability, the impostor-syndrome episode adds a workplace learning and self-assessment branch, the cybersecurity episode adds an adversarial-risk branch where models, simulations, NLP, access control, and security expertise have to move together, EP6 adds a PhD-path branch where academic AI research depends on preparation, current literature, replication, and scoped claims, EP7 adds a production-ML branch where models need data engineering, MLOps, APIs, CI/CD, feedback loops, and cross-functional teams, EP8 adds a biomedical-research branch where sequencing pipelines, feature representation, single-cell data, and biological interpretation shape AI usefulness, EP9 adds a K-12 education branch where ChatGPT changes academic integrity, teacher workload, AI literacy, and computing access, and EP12 adds a sports analytics branch where football knowledge, communication, scouting, privacy, event/tracking data, and prediction decide whether models become useful team decisions.

Connections