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Webinar

AI Сloud for Life Sciences. New Single Cell Foundational Model Use Case

Available on-demand
60 Minutes

In today’s world, life sciences and healthcare companies face major challenges — managing complex datasets, accelerating drug discovery, and advancing precision research. Limited resources and high costs often hinder innovation and delay critical breakthroughs.

In this webinar, you will learn how it is possible to overcome these challenges using AI cloud infrastructure and advanced machine learning tools developed by Nebius — the ultimate cloud platform for AI explorers, backed by NVIDIA and Accel.

You will also discover the potential of single cell foundational models. Single-cell datasets are vast, capturing an unprecedented level of biological resolution. However, translating this rich data into patient-level outcomes and actionable insights remains a significant challenge. The single-cell model developed by Converge Bio, in collaboration with Nebius, addresses this gap by creating a foundational model that can identify patient-level patterns while fully leveraging the granularity of single-cell data.

This breakthrough has the potential to drive major advancements in areas such as clinical development, where companies seek to better understand which patients will or will not respond to a given treatment.

Key Topics:

  • Key industry challenges in Life Sciences and Healthcare
  • How AI & ML tools can address these challenges
  • Leveraging AI cloud infrastructure for single-cell analysis and clinical development
  • Converge-SC Model by Converge Bio: development process and focus use cases
  • Addressing performance issues and reducing time-to-results in Life Sciences

Why Attend?

  • Learn how Nebius  enables cost-effective innovation.
  • Discover how AI can transform single-cell data into patient insights.
  • Explore real-world cloud solutions for  Healthcare R&D.

For whom

This webinar will be interesting for commercial companies, scientific and educational institutions operating in the field of:

  • Life Sciences & Drug Discovery
  • Genomics & Multi-Omics
  • Healthtech

Speakers

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Dr. Ilya Burkov

Global Healthcare and LifeSciences Lead
Nebius
Ilya Burkov leads Global Life Sciences and Healthcare growth at Nebius, leveraging extensive clinical experience from Addenbrooke’s Hospital in Cambridge alongside a proven ability to drive cloud adoption and technical innovation across the EMEA region with AWS. With a unique combination of hands-on Lifescience and Healthcare expertise and deep technical knowledge, Dr. Burkov is passionate about addressing the most complex challenges in the industry. He believes that the correct application of AI has the power to revolutionise life sciences, and Nebius AI is here to meet all your Training and Inference needs.
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Oded Kalev

CTO
Converge Bio
I bring a unique combination of software development, machine learning, big data and cloud compute expertise to this project. Programming since the age of 8, I have cultivated extensive experience in NLP, computer vision, and big data through my work in a cybersecurity company. Starting as a researcher, I eventually managed the research-oriented R&D division, leading four interdisciplinary teams and driving innovations such as deploying machine learning to production and designing the company’s big data infrastructure.
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Iddo Weiner

Chief Science Officer
Converge Bio
I am a trained scientist with a robust background in applying computational models to address complex biological challenges. During my joint PhD at the Faculties of Engineering and Life Sciences at Tel Aviv University, I focused on gene expression and functional genomics. My work involved developing predictive models for genetic engineering outcomes and experimentally validating these models in the lab. This research culminated in the publication of 10 peer-reviewed papers, 8 of which I authored as first author. In industry, I have held diverse leadership roles. At BiomX, I spent five years advancing from Head of Bioinformatics to Vice President of Research. In this capacity, I directed the development of integrated experimental and computational R&D pipelines and spearheaded the discovery and development of novel drug candidates. Currently, I serve as Chief Scientific Officer at Converge Bio, where I lead the creation of foundational models for biological data and drive innovative AI applications in biotech and pharma. Additionally, I am a biotechnology consultant for the World Bank, leveraging my expertise to support middle-income governments in expanding and strengthening their biotechnology sectors.

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Duration:
60 Minutes