Notes & essays

Writing

Essays on drug delivery, zero-knowledge cryptography, and the systems underneath both.

2026

Designing Synthesizable Ionizable Lipids with Generative Models

The math and the diagrams behind our synthesis-constrained discrete diffusion paper — discrete graph diffusion, scaffold conditioning, region-aware noise, and why every generated lipid stays synthesizable by construction. 99% valid, 62% novel, best candidate at 2× the training-mean predicted potency.

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Generating lipids, not molecules

Everyone wants to point a generative model at ionizable lipids. It's harder than it sounds: the thing you're designing isn't a molecule, it's a formulated particle — so the model has to be constrained by makeable chemistry, formulation context, and the right multi-objective readouts.

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The delivery problem everyone is solving is the wrong one

The field is optimizing reach and potency. The market pays for tolerable, repeatable dosing — a different, often opposing axis that the whole screening apparatus is blind to. Why that gap is the real frontier for AI × biotech.

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Designing delivery

Kosha's integrated platform — AI-driven design, automated synthesis, and high-throughput screening — for discovering the lipid nanoparticles that new therapies depend on.

Read on Kosha Sciences →

2022

Improving Twiddle Access for Number Theoretic Transforms: The Beginnings

Cutting the memory-access overhead of the Number Theoretic Transform — one of the core bottlenecks in zero-knowledge proof generation.

Read on Jump Crypto →

Accelerating Multi-Scalar Multiplication in Hardware… and Software

Speeding up multi-scalar multiplication — the dominant cost in ZK proving — across both FPGA hardware and optimized software.

Read on Jump Crypto →

A Primer on Cryptographic Proof Systems

An accessible introduction to modern cryptographic proof systems and how zero-knowledge proofs actually work.

Read on Jump Crypto →

A Foray Into Blockchain Scalability

A tour of blockchain scaling approaches — and where the fundamental constraints really lie.

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A Framework for Analyzing L1s

A structured lens for comparing the design trade-offs across layer-1 blockchains.

Read on Jump Crypto →

Peeking Under the Hood: Key Pillars of Crypto Infrastructure

The core infrastructure layers that the rest of the crypto stack is built on.

Read on Jump Crypto →