What we’re about
SF Big Analytics Youtube Channel
The SF Big Analytics meetup focuses on all aspects of the big data analytics, from data ETL, feature generation, AI/machine learning theory, algorithm and implementation to technologies and infrastructures associated with big data analytics. Topics include AI/Machine Learning (Algorithm & ML Infrastructure), data processing and monitoring, data Infrastructure, data visualization, data science lifecycle etc. This meetup covers the full range of the big data analytics topics and data mining pipelines.
We try to provide high quality talks for each meetup, here are some of the policies related to talks we have been following in last few years
-- Technical focused
-- No marketing
-- No product promotion (unless it is open sourced project)
-- No high level business talks (unless it is from highly respected leaders)
Upcoming events
2
•OnlineNVIDIA FLARE Q4: Federated Learning from Industrial Perspectives
OnlineWe are excited to announce NVIDIA FLARE Q4 webinar:
Join the meeting now
Meeting ID: 217 862 297 250 5
Passcode: Yh2qy3ku***
Dial in by phone
+1 949-570-1120,,615345227# United States, Irvinehttps://teams.microsoft.com/l/meetup-join/19%3ameeting_NDdlNmRmMDYtYzYyMy00NGVlLThkODEtNDU0NTIyMGYxNzZm%40thread.v2/0?context=%7b%22Tid%22%3a%2243083d15-7273-40c1-b7db-39efd9ccc17a%22%2c%22Oid%22%3a%223f4ac28c-b68d-44d0-90db-dac09e640b21%22%7d
Agenda
8:25 am -- 8:30 am PT member join online
8:30 am -- 9:15 am PT Talk 1 + QA (Roche)
9:15 am -- 10:00 am PT Talk 2 + QA (Apheris)Talk 1: Building a Collaborative Data Space for Multiple Sclerosis Research.
In this webinar, we will dive into Roche's first global industry-academia research collaboration built on a federated architecture. This pioneering initiative aims to facilitate access to broad and diverse patient data from both real-world clinical settings and clinical trials to explore how novel scientific concepts could be relevant for medical practice and novel endpoint development.
Speaker
Eric Boenert is the product manager for Federated Open Science at Roche and can be found on LinkedIn at: linkedin.com/in/eric-boernert.Talk 2: Improving protein-ligand co-folding predictions by leveraging data from multiple pharma companies
The AISB Network addresses the scarcity of public protein-ligand structure data through secure, collaborative AI model training. The first initiative customizes OpenFold3 (an open-source AlphaFold3 reproduction) using proprietary protein-ligand complexes from participating pharma companies. We’ll present the experimental and federated computing set-up powered by NVFlare, scalability considerations, IP protection mechanisms, and collaborative training results.
Speakers:
Robin Roehm - CEO & Co-Founder: Robin studied medicine, philosophy, and mathematics. He is now CEO and co-founder of Apheris, driving the direction of the business.Nicolas Gautier - Senior ML Engineer: Nick studied engineering. At Apheris, he works as an engineer, focusing on infrastructure, backend development, data science, and machine learning.
16 attendees
Carnegie Mellon x NVIDIA FL Hackathon for Biomedical Applications
Location not specified yetJoin us on January 7-9, 2026 for an in-person (remote for folks who can’t travel) hackathon at Carnegie Mellon University in Pittsburgh PA, hosted by CMU Libraries in partnership with NVIDIA.
This hackathon focuses on leveraging NVIDIA FLARE to enable collaborative, privacy-preserving computation across multiple biobanks for disease subtyping and genetic analysis, with an emphasis on rare diseases, cancer, and polygenic traits.
Open to graduate students and research scientists in academia, government, and industry. Please complete this brief application form to participate.
A first round of successful applicants will be notified by November 15. Any later applications are due by December 7.
2 attendees
Past events
288
Group links
Organizers
Members
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