Nilmani Singh

An AI-powered cloud biofoundry for autonomous biological research

The paper introduces iCloudBiofoundry, a cloud platform that autonomously designs, executes, and iteratively improves biological experiments using AI-driven workflows.

Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder

This paper uses a variational autoencoder to design novel mitochondrial targeting sequences across eukaryotic organisms, showing they are functional and diverse.

A Generalized Platform for Artificial Intelligence-powered Autonomous Protein Engineering

This paper introduces an AI-powered platform for autonomous protein engineering that uses machine learning and biofoundry automation to rapidly improve protein function without human intervention.

Automated, self-resistance gene-guided, and high-throughput genome mining of bioactive natural products from Streptomyces

The paper introduces a high-throughput platform for discovering bioactive natural products from Streptomyces by combining computational prediction, cloning, and heterologous expression of biosynthetic gene clusters.

PlasmidMaker: a Versatile, Automated, and High Throughput End-to-End Platform for Plasmid Construction

PlasmidMaker automates high-throughput plasmid construction with error-free assembly of complex genetic sequences across multiple species.