Ander Steele, PhD

Head of AI

About the author

Ander Steele, Head of AI at Tonic.ai, is at the forefront of building privacy-preserving data and machine learning pipelines. He tackles complex AI challenges such as synthetic-data generation, evaluation automation, and scalable inference, with a particular focus on making sensitive data safely useful for real-world AI systems. A mathematician by training, Ander holds a Ph.D. in Mathematics and Statistics from Boston University and a B.S. in Applied Mathematics from Georgia Institute of Technology. His diverse background includes academic positions as a Visiting Assistant Professor at UC Santa Cruz and a Postdoctoral Fellow at the University of Calgary, as well as industry experience as a Senior Data Scientist at Fullpower Technologies, where he applied deep learning to analyze sensor data related to sleep and health disorders. At Tonic.ai, he is responsible for the development of the company’s AI models, ensuring secure and compliant data use for AI training. Off the clock, you’ll find him mountain biking or running the redwoods around Santa Cruz.

Latest insights from Ander Steele, PhD

Deep dive: small vs large language models for token classification

Technical deep dive

Demo: fine-tuning LLMs with Tonic Textual

Data de-identification

Redacting sensitive free-text data: build vs buy

Technical deep dive

Quickly building training datasets for NLP applications

AI model training

Understanding model memorization in machine learning

Data privacy in AI

Managing the data risk of generative AI

Zoom Webinar

August '21 launch: automating Tonic.ai, from VAEs to webhooks to Google SSO

Zoom Webinar

Build better and faster with high-fidelity synthetic data today.

Unblock data access, turbocharge development, and respect data privacy as a human right.
Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.