USF Data Science & Artificial Intelligence Speaker Series

We are excited to welcome Sreeni Iyer for an inspiring session in the USF Data Science Speaker Series.

This talk will explore how advanced machine learning techniques can unlock insights from ecological field data by combining predictive modeling and computer vision.
Highlights of the session include:

• Predictive Analytics: Modeling lion pride movements in Tsavo, Kenya. Can machine learning help us anticipate behaviors as nature adapts?
• Image Analysis: Identifying endangered vultures and analyzing camera trap data using state-of-the-art methods such as YOLO, AWS Rekognition, and LLM-powered approaches.

About the Speaker
Sreeni Iyer is an AI and data engineering leader with more than two decades of experience, including serving as CTO at multiple B2B SaaS companies focused on enabling data-driven decision-making at scale. He has led large-scale data and AI initiatives at Walmart.com and contributed to open-source projects such as Terracotta. Today, he runs Fractal-IO.tech, where he advises organizations on data architecture and AI strategy, and he is the founder of Gaia-AI.org, a nonprofit applying machine learning to wildlife conservation. His expertise spans predictive modeling, computer vision, distributed and cloud computing, and designing scalable data pipelines for real-world impact.

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