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Why we get old and how to measure it: a computational analysis of aging biomarkers
Maarten de Vries
Maarten de Vries
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Why we get old and how to measure it: a computational analysis of aging biomarkers

Biomarkers of aging have been notoriously difficult to find. In this Build Project, you will analyze real-world biological data to find good ones.

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Tuesdays
 at
6:00
P.M.
 ET /
3:00
P.M.
PT
8 weeks, 2-3 hours per week
Expert
No experience required
No experience required
Some experience required
Degree and experience required

Description

As long as humans have existed, they have tried to live longer. But today, the combination of large-scale ‘omics data and machine learning may help us unlock some of the secrets behind why we get old, and what we can do about it.

In this Build Project, you'll assume the role of a Computational Biologist, analyzing methylomics data to identify novel biomarkers of aging. During the Build Project, we will cover the theory behind the field of aging biology, which you will then use to build models. You will retrieve, clean, and process omics data, apply machine learning models for data analysis, and produce scientific figures. It is assumed that you have familiarity with biology OR data science (ideally both). If you don’t have experience with one of them, you can still enroll but you will need to learn on your own to get the most out of the project.

Session timeline

  • Applications open
    January 16, 2024
  • Application deadline
    February 18, 2025
  • Project start date
    Week of July 8, 2024
    Week of
    March 10, 2025
  • Project end date
    Week of

What you will learn

  • Have a good understanding of the field of aging biology, including what biomarkers exist
  • Perform data analysis using Python and machine learning techniques.
  • Create visualizations and reproducible scientific figures.
  • Develop a comprehensive analysis pipeline in Jupyter Notebooks.
  • Present findings in a professional scientific format.

Project workshops

1
Biomarkers of Aging Challenge
2
Hallmarks of Aging
3
Aging as a software design flaw
4
Biomarkers of Aging Challenge, Part II
5
Partial reprogramming
6
Multiplexed in-vivo screens
7
Industry approaches to longevity biotech
8
Present deliverables and reflect

Prerequisites

  • Experience with Python programming
  • Familiarity with basic statistics and data science
  • Experience running Jupyter notebooks
  • College-level understanding of molecular biology
  • Experience with reading scientific papers

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About the expert

Hi! I am Maarten, and I am a computational biologist working in a biotech company. I graduated from Harvard with a degree in Statistics. In my free time, I like programming and weightlifting.

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