Jul 15, 2021 · 1h 12m · capital-allocators
Eli Casdin – Casdin Capital (Manager Meetings, EP.02)
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of Manager Meetings, former W.K. Kellogg Foundation CIO Joel Wittenberg interviews Eli Casdin, founder of Casdin Capital, to explore the evolution of molecular medicine and modern life sciences investing. Casdin discusses his firm's underwriting framework, crossover capital deployment, perspective on AI in drug discovery, and the transformation of biotechnology into an engineered discipline.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 9% of the talking time here. How this is scored →
speaking balance: gold is Ted, purple is the guest (3 minute bins)
Casdin forcefully recounts rejecting his prime broker's firm insistence that combining private illiquid assets with public investing was unacceptable after the 2008 financial crisis.
Hardest push from Ted ▶ 38:08 Allocator comparison on miss ratesJoel Wittenberg playfully checks Casdin's claim of having only one bad miss by contrasting it with allocator reality and probing into true portfolio failure rates.
Biggest teaching moment ▶ 17:20 Genomic timeline contrast: SARS 2003 vs COVID-19Casdin educates the listener on the exponential speedup of molecular biology, illustrating how SARS sequencing took seven months while COVID mRNA design took only 48 hours.
Ted holds their own ▶ 46:25 Allocator demonstrating computational literacy on life sciences dataJoel Wittenberg highlights his own research into Casdin's writings, specifically referencing 24-zero yottabytes and setting up an advanced discussion on computational machine learning.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Ted as informed peer | Guest teaching | Guest disagreement | Ted pushing back | Why |
|---|---|---|---|---|---|---|
| Manager Meetings Show Overview and Legal Disclaimer | 4 | 0 | 0 | 0 | Ted Seides introduces the episode format and conducts a pre-interview debrief with allocator Joel Wittenberg. Wittenberg articulates Kellogg Foundation's allocation criteria and manager selection logic for biotech lockup funds. | |
| Eli Casdin's Background and Casdin Capital's Founding | 2 | 5 | 0 | 0 | Wittenberg prompts Casdin to share his background. Casdin gives an extensive narrative covering his family lineage in brokerage, his father's pioneering biotech fund Cooper Hill, his tenure at AllianceBernstein, and the creation of Casdin Capital. | |
| The Dawn of Molecular Medicine and Biotechnology Evolution | 3 | 8 | 1 | 0 | Wittenberg references Casdin's seminal 108-page paper 'The Dawn of Molecular Medicine'. Casdin delivers a masterclass on the collapsing genomic cost curve, precision medicine trials, and why therapeutic adoption preceded diagnostic reimbursement. | |
| Biotech Disruption and the Transformation of Big Pharma | 3 | 7 | 1 | 0 | Wittenberg asks how big pharma's extended clinical trial model competes with modern biotech. Casdin explains the shift from broad statistical trials to targeted biomarker-driven studies, noting big pharma's pivot toward biopharma partnerships. | |
| Evaluating Management Teams and Combating Biotech FOMO | 2 | 6 | 1 | 0 | Wittenberg asks about evaluating the human factor in science businesses. Casdin details assessing C-suite talent across functional silos using a football analogy, combating FOMO, and maintaining discipline when evaluating management. | |
| Network Calibration, Reciprocal Dialogue, and Capital Duration | 2 | 6 | 0 | 0 | Casdin explains building multi-decade network relationships based on reciprocal dialogue rather than extractive brain-picking, tying this directly to LP capital duration advantages. | |
| Sponsor Ad: Ridgeline Investment Management Technology | 3 | 6 | 1 | 0 | Following a sponsor break, Wittenberg and Casdin discuss private investing strategy. Casdin recalls rejecting early prime broker advice against illiquid assets, explaining his 'front lawn' rather than 'garage' stage entry framework. | |
| Financing Toolkit: Public Markets, Privates, and SPACs | 2 | 6 | 0 | 0 | Wittenberg asks about Casdin's financing tools across private, public, and SPAC structures. Casdin explains how SPACs function as bespoke private equity instruments for complex mergers and long-horizon life sciences growth stories. | |
| Artificial Intelligence and Machine Learning in Life Sciences | 3 | 7 | 1 | 0 | Wittenberg brings up yottabytes of data and machine learning in life sciences. Casdin demystifies AI, emphasizing that computational power without expert biological direction and commercial business models fails to generate valuable drugs. | |
| Firm Architecture, Quantitative Frameworks, and Decision Making | 3 | 7 | 0 | 0 | Wittenberg inquires about internal decision-making across Casdin's 40-person team. Casdin shares details on his quantitative factor scoring, eliminating ego clashes from traditional analyst-PM hierarchies, and discovering negative return correlation in catalyst strength. | |
| Ten-Year Outlook and Maturation of Life Sciences Investing | 3 | 6 | 0 | 0 | Casdin forecasts life sciences asset allocations growing dramatically across institutional portfolios over the next decade as molecular engineering turns speculative lottery tickets into predictable compounding businesses. |