Press & Media

David D. Ellison: Why Responsible AI Is a Business Advantage, Not a Compliance Burden
David D. Ellison: How to Build an AI Business From the Ground Up
David D. Ellison: Translating AI Capability Into Measurable Business ROI
David D. Ellison: Why Most Companies Get AI Implementation Wrong

Nascar Pit Crews Are Using AI for the Perfect Pit Stop

Island Conservation harnesses machine learning solutions from Lenovo and NVIDIA to restore island ecosystems

David D. Ellison: The 10 Most Influential Tech Leaders To Follow in 2024

David D. Ellison: The 10 Most Influential Data Science Leaders To Follow in 2024

Responsible AI will give you a competitive advantage

Podcasts

Turning AI into ROI: How to Build Value, Not Just Models
From PoC to Production: How Lenovo Turns AI into Enterprise Impact | Intel

The Impact of Responsible AI: Insights from David Ellison and Lenovo | Intel

Peer-Review Publications

Adaptive Prompt Evolution for Continual Learning in Diabetic Retinopathy Detection – Springer Nature

Benchmarking Considerations for Agentic AI Systems – Springer Nature

PantheonOS: An Evolvable Multi-Agent Framework for Automatic Genomics Discovery – In Submission

Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings – 2025 TPCTC Conference / Springer

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring – Association of Computing Machinery (ACM)

TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings – International Conference on Pattern Recognition

Spatiotemporal Modeling of Molecular Holograms – Cell

Evaluation Considerations of Synthetic Natural Language Datasets for Question Answering Applications – Springer

Benchmarking Large Language Models: Opportunities and Challenges – Springer

Benchmarking Generative AI Performance Requires a Holistic Approach – Springer

Benchmarking Considerations for Trustworthy and Responsible AI – Performance Evaluation and Benchmarking, Springer

More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI – Performance Evaluation and Benchmarking, Springer

Scanflow: A Multi-graph Framework for Machine Learning Workflow Management, Supervision, and Debugging – Expert Systems with Applications

Responsible AI Will Give You a Competitive Advantage – VentureBeat

Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results – Performance Evaluation and Benchmarking. TPCTC

Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters – Proceedings of the 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid ’22)

Scanflow: An End-to-end Agent-based Autonomic ML Workflow Manager for Clusters – Middleware ’21: Proceedings of the 22nd International Middleware Conference

Benchmarking AI Inference: Where We Are in 2020 – TPCTC 2020: Performance Evaluation and Benchmarking

Dynamic Secretome of Bone Marrow Derived Stromal Cells Reveals a Cardio-protective Biochemical Cocktail – Proceedings of the National Academy of Sciences

3D Analysis of Multi-cellular Responses to Chemoattractant Gradients – Journal of Visualized Experiments

Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching – 2018 IEEE International Conference on Big Data

Cell-cell Communication Enhances the Capacity of Cell Ensembles to Sense Shallow Gradients During Morphogenesis – Proceedings of the National Academy of Sciences

Control of the Interface Between Heterotypic Cell Populations Reveals the Mechanism of Intercellular Transfer of Signaling Proteins – Integrative Biology

Understanding Cell-Cell Signaling in Developing Systems with Lab-on-a-chip Technologies – Johns Hopkins University Press

“Using Lab-on-a-chip Technologies for Stem Cell Biology” (Chapter in: Stem Cells & Regenerative Medicine) – Humana Press

Lab-on-a-chip Devices as an Emerging Platform for Stem Cell Biology – Lab on a Chip

Assessing and Improving the Accuracy of Detecting Protein Adaptation with the TreeSAAP Analytical Software – International Journal of Bioinformatics Research and Applications

Computational Model and Microfluidic Platform for the Investigation of Paracrine and Autocrine Signaling in Mouse Embryonic Stem Cells – Molecular BioSystems

SimSeq: A Simulator that Utilizes Phylogenetic Topology while Preserving the Dynamic Flow of DNA Variation – Brigham Young University Press