Amir Pandi

The paper identifies SMiTE, a commensal-derived bacteriocin that effectively inhibits multiple Streptococcus pneumoniae serotypes without harming commensals.

qByte is an open-source, affordable fluorimeter that performs reliable biological tests in various settings, validated through real-world applications.

CodonTransformer optimizes DNA sequences for protein expression across species by learning from natural codon usage patterns and generating sequences with appropriate regulatory features.

This paper introduces Phaseek, a hybrid model for predicting and generating phase-separating protein regions, achieving 70% success in vivo peptide design.

This paper develops a phage-mediated CRISPRi system for intercellular communication in bacterial consortia, enabling multicellular logic gates with up to 7 cells and 3 inputs.

Autoencoder design plus a roughly 24-hour cell-free screen tested 500 candidates over five rounds, finding 30 functional AMPs; six were broad-spectrum with no resistance emerging in E. coli.

The paper introduces METIS, an active learning workflow for optimizing genetic and metabolic networks, demonstrating significant improvements in efficiency with minimal experiments.

The paper develops a synthetic communication system using phage M13 to study genetic exchange in E. coli and discovers an extracellular immunity factor that reduces infection rates by 70%.

This paper develops stringent gene expression systems by regulating both transcription and translation, achieving high induction ratios and reduced leakiness in both in vivo and cell-free systems.

The paper uses active learning to explore a large combinatorial space of cell-free compositions to maximize protein production and identify critical parameters.

The paper introduces metabolic perceptrons for binary classification of metabolite combinations using computational models and experimental validation in synthetic biological circuits.

This paper introduces hybrid cell-free biosensors that expand the range of detectable chemicals by combining synthetic metabolic cascades with transcription factor-based networks.