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jacob kimmel

T2 · manager / operator

Co-founder of NewLimit, developing epigenetic reprogramming medicines to reset aged cells; background in aging biology research since teenage years.

1 call·1 name·100% bull·last heard 7 months ago·Kleiner Perkins
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no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

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$NEWLIMITNewLimitposition

Epigenetic reprogramming startup advances first pre-clinical candidate for liver disease

AI-driven discovery of transcription factor combinations resets epigenetic age in multiple cell types, with a first pre-clinical candidate targeting liver disease and pipeline expanding to T cells and vasculature.

Kleiner Perkins2026-02episode →

most discussed · click a bar to filter

  • $NEWLIMIT

recurring themes

  • AI Drug Discovery2
  • GLP-1 & Metabolic Drugs1
  • Life Sciences & Drug Development1
1 total
$NEWLIMIT
NewLimit
HIGHjacob kimmel·Kleiner Perkins·7 months ago·The Science of Pausing and Reversing Aging | Laura Deming and Jacob Kimmel· position
Epigenetic reprogramming startup advances first pre-clinical candidate for liver disease
AI-driven discovery of transcription factor combinations resets epigenetic age in multiple cell types, with a first pre-clinical candidate targeting liver disease and pipeline expanding to T cells and vasculature.
"We treat time slightly differently. Um, so we are working on developing medicines that reprogram the epiggenome... And we're trying to reset the epiggome back to what it's like wh…"
2:58
9
AI Drug Discoverytailwind
AI cuts drug discovery time in half for longevity startups
Foundation models combining protein/DNA sequences with LLM embeddings predict transcription factor effects, explaining 50% of experimental variation in silico and enabling 2x faster discovery campaigns.
7
GLP-1 & Metabolic Drugstailwind
GLP-1 drugs join statins as proven longevity therapeutics
Health economics data shows GLP-1 agonists add 1-3 years of healthy life, comparable to statins, establishing a widely used longevity medicine class that could stack for further gains.
7
Life Sciences & Drug Developmenttailwind
AI-driven deep phenotyping may shrink clinical trials and revive pharma productivity
High-content measurements and AI prediction could reduce patient numbers needed per trial, increasing throughput and potentially bending the cost curve of drug development (reversing Eroom's law).
6
AI Drug Discoveryheadwind
Virtual cell models require orders of magnitude more human trial data to predict toxicity
Current human drug trial data (~2,000 new drugs/year) is insufficient to train predictive toxicity models; decades needed unless data collection radically accelerates.