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Sergei Yakneen
Chief Technology Officer at Isomorphic Labs
Sergei Yakneen is the Chief Technology Officer at Isomorphic Labs, a company focused on applying artificial intelligence to drug discovery and digital biology.8 He has been with Isomorphic Labs since January 31, 2023, marking over a year in his role as of early 2024.6
Professional Background
Sergei is a highly skilled senior developer with a history of significant contributions in the tech industry. Prior to his current position, he worked at CIBC, where he developed a Content Management System (CMS) used for CIBC's marketing site.1
Current Role and Responsibilities
At Isomorphic Labs, Sergei is involved in various aspects of the company's work:
- AI Research: He leads efforts in applying AI to drug discovery and digital biology.8
- Interdisciplinary Programs: Sergei oversees programs that span biology, chemistry, engineering, large-scale data generation, and compute hardware.8
- Public Speaking: He frequently represents Isomorphic Labs at conferences and events, giving keynote presentations and talks on their work.35
Recent Activities
Sergei has been actively involved in several notable events:
- He presented a keynote at the AMDLE EPFL 2024 conference.5
- He gave a keynote presentation at JSP - EPFL's faculty retreat and conference in Villars.3
- He participated in NeurIPS 2023, where he and his team presented at the Google DeepMind booth.47
Professional Outlook
Sergei appears to be passionate about the potential of AI in drug discovery and frequently shares his excitement about the work being done at Isomorphic Labs.2 His LinkedIn posts suggest he is deeply engaged in the AI and drug discovery communities, often attending and speaking at relevant conferences and events.
Highlights
A lot of what we do at Isomorphic Labs has never been done before - building truly general models of chemistry and biology that move as much of the drug discovery process in-silico as possible, and then using these models to the fullest to design new medicines. The types of large-scale computational experiments that move us forward are only possible on a secure, solid and scalable technology platform. Google Cloud have been a great partner for us since day 0 and their infrastructure platform, massive graphics accelerator fleet, and stellar team have provided exactly the right substrate for us to build technology on top of, fit for purpose for large-scale ML research and exacting production use cases. In this blog post - http://bit.ly/3T4gVTA, I've teamed up with Shweta Maniar to introduce some of the challenges we work on at IsoLabs, talk about how we build ground-breaking ML models like AlphaFold 3, and how we partner with Cloud to increase our research velocity and operate a reliable production environment for our chemists and biologists to design novel molecules in.
Modern ML at scale is impossible without massive hardware fleets, especially when it comes to graphics accelerators. Working in an Alphabet environment means there's a dizzying array of options for various GPUs and TPUs, each optimised for a particular use case. Once you have this expensive hardware, you want to make sure that it's getting the best possible use that it can. At Isomorphic Labs we are running large scale ML model training and inference, and other scientific computing payloads for drug discovery non-stop. I'm looking for a new Technical Program Manager (https://lnkd.in/gvEcKdq5) to help us plan, procure, operate, and maximise the utility of our hardware fleet. The role is available in London.
#ai #drugdiscovery
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Mesh is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Mesh beneficial.
Mesh offers competitive pricing in the personal CRM market. Mesh offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Mesh's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
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