Research

Direct electric-field DNA writing on microelectrode chips (EPCR), plus assembly of genes, plasmids, and mRNA — an on-chip, IDT-style foundry for programmable synthetic biology.

• Electric-field DNA / selective gene synthesis (EPCR) on reusable chips
• Amine-to-amine gold-surface conjugation for field-assisted hybridization
• Plasmid assembly, mRNA / IVT, and cell-free protein expression
• On-demand custom oligo & gene foundry (STD BioElec spin-off)

High-density encoding of digital data — 3D models, point clouds, cultural heritage — into DNA, with fast decoding via tailored error-correcting codecs and a liquid, electrically random-accessed DNA drive.

• High-data-density, high-speed DNA data ink for digital preservation
• Liquid DNA drive with electric-field random access (EPCR)
• Reed–Solomon / erasure-coding CODECs for reliable decoding
• Point-cloud & STL storage; digital cultural-heritage archiving

Computation with molecules — droplet-based Boolean logic, in-cell miRNA logic driving fluorescent-protein outputs, multi-bit FRET molecular memory, and machine-learning-assisted strand-displacement circuits.

• Programmable DNA Boolean logic in droplet microfluidics
• In-cell miRNA logic → fluorescent-protein (RFP/GFP) output
• Multi-bit fluorescent (FRET) DNA memory encoding
• RNA–DNA chimera strand displacement with ML-assisted readout

Detection of disease-linked microRNA and cell-free DNA via enzyme-free chemical ligation and electric/optical chips — liquid biopsy coupled with AI for early diagnosis, plus emerging XNA/ASO therapeutic directions.

• Enzyme-free splint / click chemical ligation for miRNA detection
• DEP–ITO FRET chips for high-sensitivity nucleic-acid sensing
• Circulating cell-free DNA & qPCR liver-cancer (HCC) markers
• AI-assisted liquid-biopsy diagnosis; emerging XNA / ASO therapy

Cross-cutting infrastructure — AI for science, self-built lab robotics in place of costly instruments, and the nanomaterials and semiconductor devices beneath every project: CNT composites, liquid-metal microfluidics, memory arrays.

• AI for science: protein/structure prediction, LLM gene-token algorithms, point-cloud deep learning
• Lab automation: pipetting robots, sourcemeter scripting, microscope & cleanroom builds
• CNT composites & flexible electronics; liquid-metal microfluidics
• Semiconductor memory devices (PIM / NAND) and process integration