May Event Recap

Thank you to everyone who joined us for our May event!

Thanks to everyone who joined us for our May meetup event! Ben Busby from NVIDIA joined PyData Pittsburgh to showcase how GPU acceleration is transforming modern data science workflows. Using biological data science as an example, Ben demonstrated the RAPIDS ecosystem, including tools for large-scale graph analytics, vector search, sparse matrix operations, accelerated machine learning, and single-cell genomics.

The discussion extended beyond traditional data science into NVIDIA’s rapidly growing AI stack for life sciences. Ben highlighted BioNeMo, NVIDIA’s open platform for biological foundation models and AI-driven drug discovery, along with emerging approaches such as GraphRAG and VectorRAG that combine large language models with structured scientific knowledge and vector search. Together, these technologies are helping researchers navigate increasingly complex biological datasets while generating more context-aware and scientifically grounded insights.

NVIDIA has been actively exploring GraphRAG systems that combine graph traversal with retrieval-augmented generation, particularly for biomedical knowledge graphs and scientific discovery workflows.

📣 Next up in June!

Be on the lookout for our announcements next week for our June 25th PyData Pittsburgh talk featuring Jonathan Shulgach from CMU’s NeuroMechatronics Lab, on building wearable muscle-sensing systems for assistive robotics and rehabilitation.

Jonathan will discuss how muscle signals can be streamed, processed, and decoded in real time using Python-based tools and machine learning methods.