Work · Biochemistry

Things I built at the bench.

Five years of synthetic microbiology and enzyme chemistry — from protein NMR in Zürich to cell-free carbon fixation and mRNA at Academia Sinica under James C. Liao (廖俊智). A wall of the projects, big and small.

mRNA chemistry

mRNA + pseudouridine

COVID-era · Liao Lab

A long, hands-on program around N1-methylpseudouridine (N1-met-Ψ) — the modification that makes mRNA vaccines stable, but which was expensive and poorly understood. We pushed on it from several directions at once.

  • Convert every uridine to N1-met-Ψ after transcription (reverse of the Moderna / Pfizer route)
  • Flip a single motif-specific uridine via guide-RNA + H/ACA ribonucleoprotein
  • Make the modified nucleotide biochemically instead of by costly chemical synthesis
RNA modificationguideRNAH/ACA RNPEnzyme synthesis
Carbon-fixing enzymes

Pyruvate synthase for CO₂

Liao Lab

Exploring pyruvate synthase (PFOR) and pyruvate formate-lyase as alternative entry points for feeding carbon and electrons into central metabolism — routes to fix CO₂ where the main pathway wouldn’t reach.

PFORPFLFerredoxin
Directed evolution

Bacterial evolution for precision fermentation

Liao Lab

Adaptive laboratory evolution to turn fragile lab strains into stable production strains. Directed evolution is powerful but leaves hyper-mutating, unstable cells; the real work was engineering genomic stability for industrial-scale fermentation — quantified with rifampicin fluctuation assays.

ALEStrain stabilityFluctuation assay
Synthetic pathways

NOG strain evolution

Liao Lab

Engineering and evolving the non-oxidative glycolysis (NOG) pathway in E. coli, pushing carbon yields toward — and past — 100%. I replayed the strain’s evolution to see which mutations recur; colonies kept converging on the same insertion-sequence hits in ptsG.

NOGGenome evolutionE. coli
Synthetic methylotrophy

SM1 methylotroph evolution

Liao Lab

Evolving SM1 — a synthetic methylotroph, an E. coli rewired to grow on one-carbon feedstock. I ran the adaptive laboratory evolution myself, pushing the strain’s growth and stability on C1 substrate. (Results from these runs to be added here.)

Synthetic methylotrophyALEC1 metabolism
Computational biology

Codon optimizer

Derived from the mRNA work

A spin-off from the mRNA project: a Python codon-optimization algorithm that scores on di-codon (codon-pair) frequencies rather than single codons. The pairings carry signal standard tables throw away — and they matter for expression and drug efficacy.

PythonCodon optimizationAlgorithms
Coursework · CS & statistics

A year of theory

TIGP · first year

The doctoral program front-loaded a year of theory — and the statistics training was exceptional, well past what I strictly needed. Algorithms from divide-and-conquer to Smith–Waterman, computational methods in medicine, and a rotation in the lab of Mark Liao (a YOLOv4 co-author), where I got my first real footing in deep learning.

StatisticsAlgorithmsDeep learning
Genomics

DNA sequencing

Liao Lab

A lot of hands-on sequencing — reading genomes to verify constructs, track mutations through evolution experiments, and close the loop between the strains I built and what actually changed in their DNA.

Genome sequencingVariant analysis
Foundations · Zürich

Protein NMR & metal-ion binding

UZH · MSc

Where it started — a Master’s under Oliver Zerbe, studying proteins by NMR and how bound metal ions reshape them. Also my first real programming, in R and Bash.

NMRStructural biology
Notebook

…and more

There’s more than fits on one wall — mini-projects, assays, and side quests I’ve half-forgotten. This card is a placeholder: tell me what’s missing and it goes up here.

The way I work now — thinking in systems, data, and structure — was forged here.

Why search needs rethinking The text-to-graph project