[Online] The Rise of Bayes in Bio-Sciences: The Next Frontier

Events
1

The Rise of Bayes in Bio-Sciences: The Next Frontier
The Rise of Bayes in Bio-Sciences: The Next Frontier800Ă—320 275 KB

Speakers:

Date and Time:

2023-06-13T16:00:00Z

To join the event:

Event Description:

We will explore integrating Bayesian methods into biotech research and discuss using mechanistic and nonparametric models in Bayesian optimization for molecule discovery. Moreover, we will explore the importance of cultivating and hiring for the right skill sets and fostering a culture of continuous learning within organizations to effectively leverage Bayes in driving innovation within the biotech industry.

Outline of Talk / Agenda:

  • 5 min: Intro to PyMC Labs and speakers
  • 45 min: Presentation, panel discussion
  • 10 min: Q&A

About the speaker:

  1. Dr. Eric Ma
    As Principal Data Scientist at Moderna Eric leads the Data Science and Artificial Intelligence (Research) team to accelerate science to the speed of thought. Prior to Moderna, he was at the Novartis Institutes for Biomedical Research conducting biomedical data science research with a focus on using Bayesian statistical methods in the service of discovering medicines for patients. Prior to Novartis, he was an Insight Health Data Fellow in the summer of 2017 and defended his doctoral thesis in the Department of Biological Engineering at MIT in the spring of 2017. Eric is also an open-source software developer and has led the development of pyjanitor, a clean API for cleaning data in Python, and nxviz, a visualization package for NetworkX. He is also on the core developer team of NetworkX and PyMC. In addition, he gives back to the community through code contributions, blogging, teaching, and writing. His personal life motto is found in the Gospel of Luke 12:48.

    Connect with Eric Ma:
    LinkedIn: https://www.linkedin.com/in/ericmjl
    Twitter: http://twitter.com/ericmjl
    GitHub: ericmjl (Eric Ma) · GitHub
    Website: https://ericmjl.github.io/

  2. Dr. Thomas Wiecki (PyMC Labs)
    Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs – the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience.

    Connect with Thomas Wiecki:
    LinkedIn: https://www.linkedin.com/in/twiecki/
    GitHub: twiecki (Thomas Wiecki) · GitHub
    Twitter: https://twitter.com/twiecki
    Website: https://twiecki.io/

2 Likes
2

Missed our recent “Bayes in Biosciences” webinar? Don’t worry! We’ve got you covered.

:microphone: Speakers include Eric Ma and Thomas Wiecki, PhD

In this webinar, we Discuss the following:
:seedling: Bayesian methods in BioTech research and using mechanistic and nonparametric models in Bayesian optimization for molecule discovery.
:dart: Significance of cultivating and hiring individuals with the right skill sets, while fostering a culture of continuous learning within organizations.

:tv: Watch the webinar on YouTube:

:question: If you have any questions, feel free to ask them in the comments section.