Uploaded February 2025 | Updated September 2026, 1 week ago
#datascience #dataanalysis #technology #nasa
In this episode of Where Technology Meets Science, we welcome David Meza, Head of Analytics at NASA’s Human Capital Office. David shares how data science and AI are transforming talent management at NASA, ensuring the right individuals are matched with critical missions. From knowledge graphs to generative AI, he explains how NASA is leveraging technology to optimize workforce planning, upskilling, and recruitment. Tune in for insights on AI-driven talent analytics, the challenges of data accessibility, and what it takes to land a career at NASA.
In this episode, you will learn:
• How NASA uses data science, analytics, knowledge graphs, and AI to align employees' skills and competencies with space mission roles
• How NASA tackles cleaning and structuring workforce data
• How AI models help to assess employee skills, identify gaps, and recommend training programs to upskill the workforce.
• How open-source tech stack, including Python, R, SQL, Databricks, and knowledge graphs enable smarter decision-making
• What it takes to work at NASA, from passion-driven careers to the importance of continuous learning
Nat Chrzanowska
linkedin.com/in/nat-chrzanowska
__________________________________________
More about Appsilon: ► appsilon.com
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. Schedule a free consultation with our expert
► appsilon.com/contact-us
We design scalable and user-friendly Shiny dashboards to help you make data-driven decisions.
► appsilon.com/services/data-dashboards
We design and implement Statistical Computing Environment for R and Python for efficient data analysis:
► appsilon.com/services/sce
We design, implement, and optimise data analysis environments so you can focus on insights and innovation.
► appsilon.com/services/platform
Where Technology Meets Science podcast is available on all podcasting platforms:
► Spotify: open.spotify.com/show/6MckhYFZCwGU4Op6P09foR
► Apple Podcasts: apple.co/3CJDdVy
__________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
► appsilon.com/blog
LinkedIn: linkedin.com/company/appsilon
__________________________________________
0:00 - Introduction to the episode and podcast
1:43 - Meet our guest, David Meza
3:10 - David’s role at NASA and his work in human capital
5:44 - Challenges in data science
9:50 - How AI helps match skills to roles at NASA
14:25 - Using AI to build a knowledge base
18:06 - Applying models to other industries
21:35 - Current major projects
24:00 - Advice for aspiring NASA employees
25:30 - Unsolved problems in the field
27:30 - Thank you for joining and final thoughts
#datascience #dataanalysis #technology #nasa
In this episode of Where Technology Meets Science, we welcome David Meza, Head of Analytics at NASA’s Human Capital Office. David shares how data science and AI are transforming talent management at NASA, ensuring the right individuals are matched with critical missions. From knowledge graphs to generative AI, he explains how NASA is leveraging technology to optimize workforce planning, upskilling, and recruitment. Tune in for insights on AI-driven talent analytics, the challenges of data accessibility, and what it takes to land a career at NASA.
In this episode, you will learn:
• How NASA uses data science, analytics, knowledge graphs, and AI to align employees' skills and competencies with space mission roles
• How NASA tackles cleaning and structuring workforce data
• How AI models help to assess employee skills, identify gaps, and recommend training programs to upskill the workforce.
• How open-source tech stack, including Python, R, SQL, Databricks, and knowledge graphs enable smarter decision-making
• What it takes to work at NASA, from passion-driven careers to the importance of continuous learning
Nat Chrzanowska
linkedin.com/in/nat-chrzanowska
__________________________________________
More about Appsilon: ► appsilon.com
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. Schedule a free consultation with our expert
► appsilon.com/contact-us
We design scalable and user-friendly Shiny dashboards to help you make data-driven decisions.
► appsilon.com/services/data-dashboards
We design and implement Statistical Computing Environment for R and Python for efficient data analysis:
► appsilon.com/services/sce
We design, implement, and optimise data analysis environments so you can focus on insights and innovation.
► appsilon.com/services/platform
Where Technology Meets Science podcast is available on all podcasting platforms:
► Spotify: open.spotify.com/show/6MckhYFZCwGU4Op6P09foR
► Apple Podcasts: apple.co/3CJDdVy
__________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
► appsilon.com/blog
LinkedIn: linkedin.com/company/appsilon
__________________________________________
0:00 - Introduction to the episode and podcast
1:43 - Meet our guest, David Meza
3:10 - David’s role at NASA and his work in human capital
5:44 - Challenges in data science
9:50 - How AI helps match skills to roles at NASA
14:25 - Using AI to build a knowledge base
18:06 - Applying models to other industries
21:35 - Current major projects
24:00 - Advice for aspiring NASA employees
25:30 - Unsolved problems in the field
27:30 - Thank you for joining and final thoughts
