Unlocking the Potential of LLM in Life Sciences

Here at Galliot, we’re passionate about the intersection of technology and life sciences. That’s why we’re thrilled to introduce you to an upcoming event organized by the Life Science Tech Collective (LSCTC). LSCTC is a dynamic community created to connect professionals at the intersection of technology and life sciences.

Why the Buzz About LLMs in Life Sciences?

The capabilities of Large Language Models (LLMs), like ChatGPT, are transforming various sectors, including healthcare and life sciences. From drug discovery to data analysis, LLMs are paving the way for groundbreaking advancements. This event offers a platform to discuss the promises and challenges of enabling LLMs in life science enterprises.

Event Details

Date: October 4th, 2023
Time: 4:30 PM to 8:00 PM
Location: Genentech Campus, South San Francisco
(Note: Exact location will be provided upon registration)

Agenda:

• 4:30 – 5:00: Happy Hour & Networking
• 5:00 – 5:30: Startup Spotlight featuring DeepCell and Hippocratic
• 5:30 – 7:30: Panel Discussion
• 7:30 – 8:00: Networking

Startup Spotlight:

• Deepcell

Panelists:

• Aviv Regev: EVP at Genentech
• Dan Sheeran: GM at AWS
• Neerav Kingsland: Partnership at Anthropic
• Nikesh Kotecha: Head of Data Science at Stanford Health Care
• Vivien Ho: Partner at Pear VC

Event Detail

About Startup Spotlight

One of the most anticipated sections of the upcoming event is the Startup Spotlight. This is a unique platform where we showcase trailblazing companies at the intersection of technology and life sciences. These startups are leading the charge in innovation, and their presentations often serve as a sneak peek into the future of the industry.

Spotlight on Deepcell

The first spotlight features Deepcell, a Menlo Park-based life sciences startup that integrates artificial intelligence with cell biology. Originating from Stanford University, Deepcell pioneers the field of “morpholomics,” using their REM-I Platform to enable high-dimensional biological discovery. Their work has exciting implications for both research and potential future applications in diagnostics and targeted therapies.

Panel Discussion

Our distinguished panel discussion aims to delve into the transformative impact of Large Language Models (LLMs) in the ever-evolving realm of Life Sciences. This segment will provide a rare opportunity to explore current applications, future possibilities, and ethical considerations surrounding the use of LLMs and AI in healthcare.

Panelists:

Aviv Regev

Aviv Regev leads Genentech Research and Early Development, formerly a Chair at the Broad Institute of MIT and Harvard. She’s a founding co-chair of the Human Cell Atlas and a leader in single-cell genomics. Her work focuses on understanding health and disease, particularly in areas like cancer and inflammation. Regev is a member of the National Academies and a recipient of the L‘Oreal-UNESCO Women In Science award

Neerav Kingsland

Neerav leads partnerships at Anthropic, an AI safety company that develops reliable, beneficial AI systems. At Anthropic, he has led efforts in fundraising, sales, and partnerships. Prior to Anthropic, he coached founders of AI safety start-ups. Previously, Neerav led philanthropic giving for Netflix CEO Reed Hastings and helped rebuild the public school system in New Orleans after Hurricane Katrina. He is a graduate of Tulane University and Yale Law School.

Vivien Ho

Vivien serves as a Partner at Pear VC, a pre-seed and seed fund that has backed over 150 companies. Leading Pear’s healthcare practice, she works closely with portfolio companies to foster growth. She is also the host of the Pear Healthcare Playbook Podcast, where she interviews healthcare leaders about the journey of building digital health businesses from the ground up. In addition to her work at Pear, she currently serves on the Wharton Healthcare Alumni Board and spearheads Pear’s Female Founder Circle program.

Dan Sheeran

Dan leads AWS‘s Healthcare and Life Sciences Business Unit (HCLS IBU), aiding customers in various healthcare sectors. The unit focuses on using AWS services for new medical solutions and efficient healthcare delivery. Before joining AWS in 2019, Dan founded two digital health startups related to telehealth and chronic disease management.

Nikesh Kotecha

Nikesh is currently the Head of Data Science at Stanford Healthcare focusing on AI-guided models. Prior to this, he led the informatics efforts at the Parker Institute for Cancer Immunotherapy, co-founded and built a single cell analytics company (Cytobank Inc), and worked at Tibco Spotfire. He is also involved in the community working with community cancer clinics, the StartX accelerator, and as an adjunct professor at Stanford Medicine.

How to Attend

This is an in-person event, and registration is required by the end of September 2023. You can complete your registration on the event’s Meetup or Eventbrite or directly in this form.

If you have any questions, contact the Life Science Tech Collective team from: hello@lifesciencetechcollective.com