Date: March 20, 2025
Oracle Park
24 Willie Mays Plaza, San Francisco, CA 94107
You're invited to join the ISPE San Francisco Chapter for our 32nd Annual Vendor Night! Vendor Night is one of our most popular events of the year. Join us on March 20th for a night to remember at one of the Bay Area's most iconic venues, home of the Giants, Oracle Park!
This year's theme, "Celebrating the Past, Embracing the Future", celebrates the innovation that has advanced the pharmaceutical industry and how it has influenced our future. Celebrate specific decades from the '80s - 2000s and how our industry has shaped tomorrow's biotechnology and pharmaceutical solutions.
Whether you are an engineer, architect, scientist, or operations expert, this event is designed to inspire, educate, and empower you to shape the future of pharmaceutical excellence. This is your opportunity to meet with close to 3,000 members of the biotechnology, pharmaceutical, and medical device manufacturing industry, including architects/engineers, construction firms, government agencies, universities, equipment manufacturers, and suppliers.
Attendee Registration
Interested in exhibiting or sponsoring? Click here for the full list of opportunities. Use the links below to register.
Sponsor registration is no longer available; however, you can still sign-up as a vendor! Use the link below.
Sign Up to Exhibit
Theme: Celebrate breakthroughs that have revolutionized the pharmaceutical industry
- Development of the synthetic insulin in the 80s
- Mapping of the human genome in the 90s
- Rise of individualized medicine, like CAR-T cell therapy, in the 2000s
- Technologies of tomorrow!
Vendors & Attendees, help us bring the theme to life!
- Choose your decade – Look to the past (80s, 90s, 2000s) OR beyond to the future!
- Dress up and decorate your booths with decade-specific outfits, decor, and accessories or show us your vision of the future!
Event Schedule:
12:00 – 4:00 PM | Exhibitor Load-in
3:30 – 8:00 PM | Registration Open
4:00 – 8:00 PM | Exhibits Open
5:00 – 6:00 PM | Technical Presentations
5:30 – 8:00 PM | Concession Stands Open (complimentary game-day food; alcoholic and non-alcoholic beverages are the responsibility of the attendee)
8:00 PM | Event Ends & Exhibitor Load-out Begins
Technical Session Speakers:
- Shivali Naik | Solutions Consultant | Data Engineering & Cloud | AI
Passionate about solving complex data challenges and optimizing workflows to drive business success. I focus on leveraging cloud technologies to unlock the full potential of data.
Topic: Generative AI for Unstructured Data & Chatbots – Generative AI is revolutionizing how businesses process unstructured data, enabling intelligent chatbots that understand context and deliver accurate responses. By harnessing NLP, we can build chatbots that enhance user experiences and streamline operations. - Sourabh Madur | Machine Learning Engineer | Meta
Sourabh Madur is a seasoned Machine Learning Engineer at Meta, focusing on cutting-edge multimodal AI for Ray-Ban Meta smart glasses and other wearable devices. He previously drove AI development at Instagram, where he helped shape the platform’s recommendation systems.
Topic: Beyond Text: How Attention Powers LLMs and AI-Driven Drug Discovery – This talk will cover how LLMs work, including the attention mechanism, how we extend them to process multiple modalities, and their applications in the pharmaceutical industry. Specifically, we’ll discuss how multimodal AI accelerates drug discovery, highlighting models like AlphaFold2, ESMFold, and MoLeR. - Rasool Shaik | Associate Director | QualiZeal
Rasool Shaik is an Associate Director at QualiZeal, specializing in Generative AI and Embedded/IoT solutions, where he helps organizations build and validate innovative products. With a strong background in engineering and over a decade of experience in the life sciences sector, Rasool holds an MBA in Strategy and Innovation from Deakin University.
Topic: Revolutionizing Quality & Compliance in Life Sciences for GenAI Applications – In this presentation, Rasool will showcase real-world examples of quality assurance for Generative AI applications in Life Sciences, emphasizing the need for updated testing methodologies and techniques covering all aspects, including accuracy, security, performance, compliance, and ensuring reliable and ethical use of AI.