MENU
SEP 16, 2020 11:00 AM EDT

Keynote Presentation: Putting Machine Learning Models into Large Scale Production for Drug Discovery

Speaker
  • Vice President of Product, Overseeing Data Science, Engineering and Innovation Biology Initiatives at Recursion
    Biography

      Lina Nilsson is Senior Director of Data Science Product at Recursion, a biotech that is reimagining drug discovery using machine learning and large-scale laboratory automation. Previously, she was the COO of Enlitic, a startup that uses deep learning to improve clinical radiology. As Innovation Director at University of California, Berkeley, she helped spin out social-impact technologies. Lina has been recognized on MIT Technology Review's "TR35" annual list of the world's top innovators. Her writings on open science, social impact technologies, and gender & tech have been published in the New York Times, Washington Post, and Science. Lina has a PhD in biomedical engineering from the ETH Zurich.


    Abstract

    This talk will peek under the hood to show how we combine deep learning models with biology lab automation at Recursion Pharmaceuticals. Every week, we generate millions of microscopy images of human cells on our high throughput screening platform as part of our search for new drug treatments. Here, I’ll describe how we use machine learning analytics to make sense of all of this complex data -  that is, to identify promising drug compounds while simultaneously avoiding high risk ones. As part of our aim to ‘industrialize drug discovery’, we have developed a single, large-volume platform approach that can be applied across large numbers of diseases. I will show how running such a high sophisticated experiment pipeline relies on a close integration of biology, engineering and data science product development: Engineering engineering infrastructure that can handle petabytes of data; Experimental biology setups that are optimized best enable downstream machine learning tasks; deep learning models that work not just on small, pre-defined datasets, but on large quantities of future data. Cumulatively, you will see a vision of medical discovery at an industrial scale.


    Show Resources
    You May Also Like
    SEP 10, 2020 9:00 AM PDT
    C.E. CREDITS
    SEP 10, 2020 9:00 AM PDT
    Date: September 10, 2020 Time: 9:00am (PDT), 12:00pm (EDT) Osmolality testing is relevant throughout the entire bioprocessing workflow. As customers look to refine mAb and gene therapy workf...
    SEP 03, 2020 9:00 AM PDT
    C.E. CREDITS
    SEP 03, 2020 9:00 AM PDT
    DATE: September 3, 2020 TIME: 09:00am PT, 12:00pm ET xxx Learning Objectives: xxx Webinars will be available for unlimited on-demand viewing after live event. LabRoots is approved as a provi...
    C.E. CREDITS
    This drug development program is designed to create a family of broad-spectrum, pan-coronaviral drugs that respectively inhibit multiple key enzymes required for viral replication. By target...
    JUN 17, 2020 1:30 PM PDT
    C.E. CREDITS
    JUN 17, 2020 1:30 PM PDT
    Understanding the complex interplay between a pathogen and the host response is important to developing effective vaccines and therapeutics. The nCounter® Analysis System and GeoMx®...
    NOV 05, 2020 7:00 AM PST
    C.E. CREDITS
    NOV 05, 2020 7:00 AM PST
    DATE: Date needed, 2020 TIME: Time needed Exosomes are a population of naturally occurring mobile, membrane-limited, 30 – 100 nm in diameter, extracellular vesicles containing a large...
    NOV 18, 2020 8:00 AM PST
    C.E. CREDITS
    NOV 18, 2020 8:00 AM PST
    DATE: November 18, 2020 TIME: 08:00am PDT We develop and implement technologies to solve some of the major bottlenecks in biomedical research. In particular, we establish new imaging approac...
    Loading Comments...
    Show Resources
    Attendees
    • See more