Certificate Program
Chief Data and AI Officer (CDAIO)
Carnegie Mellon University
2026
Talitha Washington, Ph.D., is the Executive Director of the Center for Applied Data Science & Analytics (CADSA), Sean McCleese Endowed Chair, and Professor of Mathematics at Howard University. She also serves as Co-Chair of the President's AI Advisory Council, which guides the University's AI strategy across research, academic, and enterprise initiatives. Her work spans applied mathematics, dynamical systems, data science, artificial intelligence, and STEM education, with a focus on expanding opportunity, advancing innovation, and strengthening the impact of research and education.
Washington serves as Principal Investigator of the U.S. National Science Foundation–funded Research Coordination Network on Assessing and Predicting Job Outcomes in AI, a national initiative focused on building a coordinated understanding of AI jobs, skills, and credentials to strengthen the nation’s AI workforce ecosystem. She is Past-President of the Association for Women in Mathematics and a former member of the Census Scientific Advisory Committee of the U.S. Census Bureau. She has led and contributed to major externally funded initiatives in data science, AI, workforce development, and STEM education.
An accomplished scholar and advocate for excellence, Washington has been recognized with numerous honors. She was elected to Phi Beta Kappa and Sigma Xi, as well as mathematics honor societies Kappa Mu Epsilon and Pi Mu Epsilon. Her accolades include the 2019 BEYA STEM Innovator Award, the 2019 Outstanding Faculty Award from Howard University, and the 2020 NSF Director’s Award for Superior Accomplishment. She is a Fellow of the African Scientific Institute (ASI), the American Mathematical Society (AMS), the Association for Women in Mathematics (AWM), and the American Association for the Advancement of Science (AAAS).
Washington was a VIGRE Research Associate in the Department of Mathematics at Duke University and served as the inaugural Director of the Atlanta University Center (AUC) Data Science Initiative and the NSF National Data Science Alliance. Her academic appointments include assistant professorships at The College of New Rochelle and the University of Evansville, and a full professorship at Clark Atlanta University. As a former Program Director at the National Science Foundation (NSF), she worked in the Convergence Accelerator within the Directorate for Technology, Innovation, and Partnerships (TIP) and in the Division of Undergraduate Education (DUE), where she led the development of NSF's first Hispanic-Serving Institutions Program.
After graduating early from Benjamin Bosse High School in Evansville, Indiana, she studied abroad in Juan Viñas, Costa Rica. She earned her undergraduate degree in mathematics from Spelman College, including a semester abroad at the Universidad Autónoma de Guadalajara in Mexico. She later completed her master’s and doctoral degrees in mathematics at the University of Connecticut, which also awarded her an honorary Doctor of Science. She also completed Carnegie Mellon University’s Chief Data and AI Officer Certificate Program.
Across her scholarship, leadership, and service, Washington remains committed to expanding opportunity, advancing innovation, and strengthening the impact of research, education, and emerging technologies.
Chief Data and AI Officer (CDAIO)
Carnegie Mellon University
2026
Honorary
University of Connecticut
2023
Mathematics
University of Connecticut
2001
Mathematics
University of Connecticut
1998
Mathematics
Spelman College
1996
The Dig | Howard AI News
The Dig | Howard University Launches Its First AI Certificate Program for Undergraduate Students
The Dig | Howard University Hosts Agentic AI Bootcamp for Faculty to Explore the Future of AI in Academia
The Dig | Howard University Researcher Investigates the Future of AI Jobs with NSF-Funded Project
AMS Newsroom | 50 Years of PhD Math at Howard University
The Atlanta Voice | Talitha Washington Named First Person Ever to be Named Both AMS and AWM Fellow in the Same Year
The Washington Informer | HBCUs Propel the Next Generation of Black Leaders in AI, Digital Literacy
UConn Today | UConn Magazine: Revenge of the Data Scientists: Talitha Washington is Turning the Tables
A LinkedIn Newsletter on how AI and data are transforming higher education across teaching, research, workforce development, and institutional strategy.
This article details how a multi-institutional collaboration among Historically Black Colleges and Universities (HBCUs) established a coordinated framework to launch rigorous data science academic programs. Through a cohort-based faculty model, the project successfully developed the curricula and high-impact strategies across HBCUs to scale the national data science workforce.
These Curriculum Guidelines provide a foundational framework for institutions to develop rigorous, adaptable data science curricula that bridge the gap between academic training and industry demands.
This paper details the framework by the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) Ethics and Equity Workgroup (EEWG) for integrating ethics and fairness into biomedical AI, focusing on mitigating algorithmic bias and cultivating the research workforce.
This paper develops dynamically consistent nonstandard finite difference (NSFD) schemes that accurately simulate nonlinear bridge oscillations, successfully overcoming the computational instabilities of standard numerical methods.
This paper develops a dynamically consistent nonstandard finite difference scheme for the heat equation that preserves physical properties while mathematically bridging microscopic particle movement and macroscopic thermal conduction.
This paper applies differential equations to investigate the release of Luteinizing Hormone (LH) in response to varying patterns of Gonadotropin-releasing hormone (GnRH), providing a predictive tool for LH release patterns.
In this AI Summit interview, Dr. Talitha Washington discusses the strategic integration of AI into the workforce. She emphasizes the roles of data security, prompt engineering, and cross-sector partnerships in driving innovation. Ultimately, she highlights how ethical AI application enhances human performance and solves complex societal challenges.
Dr. Talitha Washington shares how her work with Historically Black Colleges and Universities (HBCUs) is creating robust pathways for students to enter the AI-driven workforce through new majors, minors, and national research alliances. She said, "We need all hands on deck...to really move the needle and ensure that every student has access to data science and AI because it makes it better for everyone."
In this LifeBeat Podcast interview, Dr. Talitha Washington explores how AI and data science can be harnessed to improve community health and drive social impact through ethical stewardship. She emphasizes that technology should augment human performance rather than replace it, requiring a foundation of curiosity and critical thinking to ensure responsible innovation.