C2C Connect Live: Cambridge

Introduction from Google

Yee-chen Tjie ( @yeetjie ), Google Cloud Life Sciences Head of Customer Engineering, kicked off the program at C2C Connect Live: Cambridge with a few words about how Google is using 10x thinking to make major unique and substantial investments in Healthcare and Life Sciences technology. Tjie made a point of mentioning Google's record of solving problems using AI and ML, particularly with AlphaFold 2, the focus of the presentation Luke Ge of Intel gave later in the afternoon.

After his opening remarks, Tjie hosted a round of Google trivia, inviting everyone in the audience to stand and then sit down every time they answered one of his true-or-false questions incorrectly. After guessing whether Google Suite was initially offered on CD in 2006 (false), the first Google Doodle was about Coachella because the founders were going (false - - they were going to Burning Man), and the English translation of Kubernetes is "cargo ship" (false - - it's "pilot"), Tjie handed the lucky winner a free Google hub device.

CISO Healthcare and Life Sciences Reflections

Before beginning his presentation, Taylor Lehmann ( @taylorlehmann1 ), Director of the Office of the CISO at Google Cloud, thanked the hosts for the opportunity to join and speak, noting that he had just had his "mind blown" talking to fellow presenter Jonathan Sheffi before the event. Lehmann went on to discuss some of the core principles of invisible security, and his office's mission to "get to this vision where security is unavoidable." A big part of this project, he explained, is eliminating the shared responsibility model in favor of what Google calls "shared fate." Under this model, Google provides blueprints, solutions, and curated patterns to enable customers to manage their own security infrastructures. "If you have a bad day on Google Cloud, it's a bad day for us too," he summarized. "If you win on Google Cloud, you win too."

The History and Future of Human Genomics

Jonathan Sheffi ( @sheffi ) formerly a Director of Product Strategy at Veeva Systems and Google Cloud, began his presentation by prodding the audience with an enthusiastic "How's everyone doing?" and then added "First rule of public speaking, make sure the audience is awake." The focus of Sheffi's presentation, the history and future of human genomics, took the audience back to the year 1990, when, in Sheffi's words, "Nirvana's Nevermind is a year from coming out, it's a very exciting time."

Sheffi went on to cover the advents of next-gen sequencing and of public cloud computing, government and pharmaceutical adoption of genomic sequencing, and recent cost-cutting advancements in genomics. When he opened things up to the audience for questions, Michael Preston of Healthcare Triangle shared his own experience seeking treatment for melanoma to ask how genomic sequencing can be used to predict patient reactions to prescribed medications. Sheffi took the question to heart, and acknowledged the need for sequencing and screening processes that take into account data on patient-reported side effects.

End-to-End Optimization of AlphaFold2 on Intel Architecture

Luke Ge ( @Liangwei77ge ) an AI Solution Specialist at Intel, opened his presentation by saying, "Yesterday I spent 6 hours on a plane to come to this beautiful city," prompting a round of applause form the audience. Then he asked "How many of you are using Alphafold 2?" A few hands went up. He followed up with, "How many of you have heard of Alphafold 2?" Many more hands raised.

Ge's presentation explored how analyzing human tissue from DNA to protein structure requires using AI for processing huge sequence data. The Google product that handles this processing is AlphaFold 2. Ge explained how Intel's computing hardware supports Alphafold 2, including by providing a deep Learning model inference and removing memory bottlenecks in AlphaFold 2's attention and evoformer modules. At the end of his presentation, Ge demonstrated a model generated using non-optimized versus optimized Alphafold 2 code. The difference was clear.

Panel Discussion

Tjie moderated the panel discussion with Sheffi and Ge by asking each whether he is a Celtics fan or a Warriors fan. Immediately, the tension in the room rose: Sheffi and Ge are from opposite coasts, making Sheffi a Celtics fan and Ge a Warriors fan. The tension was short-lived, however. When Tjie asked Ge what he considers the best way to choose a compute instance, Sheffi followed up to ask Ge if it's possible to run multiple sequences on a single instance and maintain performance. Ge said yes.

When Tjie opened questions to the audience, several guests rose to ask Sheffi questions about genomic sequencing, more than one of them focusing on use cases for genomic research for patients and caregivers. After several of these questions in a row, Tjie turned to the crowd and said, "I warned Luke that if he picked the Warriors then he would get less questions from the audience." After the laughs in the room died down, Tjie asked Ge where he sees HCLS problems being solved with AI. Ge did not have to think long before citing computer vision as a solution for detecting cancerous cells.

Winding Down

Following the presentations, all in attendance broke away to connect during a networking reception. To read more about it, check out the exclusive onsite report linked below in the Extra Credit section.

Extra Credit