Episode description
Dr. Varun Dwaraka is the Head of Bioinformatics at TruDiagnostic, one of the countries leading scientists exploring the science of aging & longevity through machine learning principles. Varun received his PhD from the University of Kentucky, and has authored numerous publications relating to genetics, epigenetic clocks, DNA methylation, and tissue regeneration. He leads the development of epigenetic and multi-omic based clocks at TruDiagnostic Inc.
In this episode, Varun & Delaney discuss:
Using machine learning to develop predictive models for aging and longevity solutions.
How to self-teach machine learning & AI (breaking down misconceptions)
How Epigenetic clocks inform people about their biological age
What is DNA methylation & how it predicts speed of aging
Creating a seamless user journey in the epigentics space
How to improve your genomic age & overall quality of life metrics
How machine learning works (for beginners)
Supervised vs unsupervised machine learning strategies
The future of longevity science: ethics, longevity & lifespan
How to make the jump from academia to working in health tech industry
The call for more research funding in health tech companies
Varun’s top sources of inspiration for career & personal growth
More from Varun:
https://www.a4m.com/varun-dwaraka.html https://scienceresearchwellness.com/pages/varun-dwaraka https://www.eurekalert.org/news-releases/962250
https://scholar.google.com/citations?user=4T1umKwAAAAJ&hl=en&oi=ao https://www.linkedin.com/in/varunbdwaraka/
More from Delaney: