Reading & Learning

Books

Currently Reading

• "Español para Ciencias" reading
  Scientific Spanish textbook
• "The Selfish Gene" by Richard Dawkins 50% done
  Evolution and gene-centered view of life
• "A Crack in Creation" by Jennifer Doudna just started
  CRISPR and gene editing

Finished

• "Lifespan: Why We Age—and Why We Don't Have To" by David Sinclair finished
  Aging biology and longevity research

To Read

• "Molecular Biology of the Cell" by Alberts et al. (foundational textbook)
• "Genetics: A Conceptual Approach" by Benjamin Pierce
• "Ageless: The New Science of Getting Older Without Getting Old" by Andrew Steele
• "The Hallmarks of Aging" (review paper anthology)
• "The Code Breaker" by Walter Isaacson (biography of Jennifer Doudna)
• "Bioinformatics and Functional Genomics" by Jonathan Pevsner (for graduate studies)

Peer-Reviewed Papers

Summaries of papers I've read and analyzed as part of my self-directed learning in aging biology.

Cellular Senescence

• López-Otín et al. (2023) — "Hallmarks of Aging: An Expanding Universe"
  [Read my summary]
  Cell, 2023. Updated framework of aging mechanisms.
• Baker et al. (2011) — "Clearance of p16Ink4a-positive senescent cells delays aging-associated disorders"
  [Read my summary]
  Nature, 2011. Landmark senolytic therapy paper.

NAD+ Metabolism & Longevity

• Yoshino et al. (2018) — "NAD+ intermediates: The biology and therapeutic potential of NMN and NR"
  [Read my summary]
  Cell Metabolism, 2018.

Epigenetic Clocks

• Horvath (2013) — "DNA methylation age of human tissues and cell types"
  [Read my summary]
  Genome Biology, 2013. Original epigenetic clock.

Online Courses

Completed

• "Introduction to Biology - The Secret of Life" (MIT, edX) completed
  [Certificate]
  Foundational molecular biology

In Progress

• "Genomic Data Science Specialization" (Johns Hopkins, Coursera) module 2/6
  Genomics, Python, bioinformatics tools

Planned

• "Molecular Biology - Part 1: DNA Replication and Repair" (MIT, edX)
• "Biology Meets Programming: Bioinformatics for Beginners" (UC San Diego, Coursera)
• "Bioinformatics Specialization" (UC San Diego, Coursera)