Richard Allen White III, Ph.D.
Associate Professor of Bioinformatics & Genomics, UNC Charlotte
Principal Investigator, the RAW Lab · Founder & CEO, RAW Molecular Systems LLC
There are computational biologists who write software, and molecular biologists who run experiments. Rick does both — and builds the instruments the rest of his science depends on.
The rare scientist who never had to choose.
Genomics usually forces a choice early. You become the person who runs the experiment, or the person who analyzes it — and from then on you depend on someone else for half of your own science. Rick refused the split. He moves without friction between the pipette and the command line, designing the experiment, generating the data, writing the software that reads it, and standing behind the answer at the end.
That dual fluency is the reason RAW Molecular Systems exists. A laboratory that has to outsource its analysis is limited by whatever tools happen to exist. A laboratory that builds its own is limited only by what it can imagine measuring.
Most labs work around the limits of their software. This one rewrites the software.
The standard he holds himself to is unfashionably strict: complete, working systems — no stubs, no placeholders, nothing left for later. If a pipeline ships, it runs end to end, on real data, in someone else’s hands.
Wide, without going shallow.
Most researchers spend a career narrowing. Rick went the other direction — across five fields that most institutions would divide among five separate investigators, held together by a single question: what is all this biology actually doing?
Computational virology
Viral and phage genomics at scale — reading the viruses that shape ecosystems, agriculture, and human health, including the ones no reference database has ever seen.
Microbial ecology & multi-omics
Metagenomics and metatranscriptomics that resolve communities to the strain and the gene, then ask what those genes are switched on to do.
Megaphage biology
Giant bacteriophages — huge, strange genomes that break the assumptions built into most viral analysis tools, and reward anyone willing to build new ones.
Bat immunology
How bats carry viruses that devastate other mammals and stay well — one of the more consequential open questions in infectious disease.
Biological dark matter
The vast uncharacterized fraction of every genome ever sequenced. Most pipelines leave it blank; his work is built to give it function and meaning.
Machine learning on biology
Graph neural networks, profile hidden Markov models, and biomedical knowledge graphs — applied where they earn their keep, not where they make a good slide.
He doesn’t wait for the right tool. He engineers it.
A growing ecosystem of open-source bioinformatics software, much of it written in pure Rust for the speed, memory safety, and reliability that modern genomics demands — wrapped for Python where scientists need it, and distributed through Bioconda so any lab can install and run it in one command.
MetaCerberus
Functional annotation for metagenomes and metatranscriptomes — what the community can do, not just who is in it.
MerCat2 / RustyCat2
High-performance k-mer counting and sequence property analysis, rebuilt in Rust for datasets that break conventional tools.
DeGenPrime
Degenerate PCR primer design — bench-facing software from someone who still runs the reactions himself.
NFixDB
A curated nitrogen-fixation gene database, built to correct the misannotation that propagates silently through soil and plant studies.
Pathview / SBGNview
Pathway visualization across KEGG, Reactome, MetaCyc, and SBGN-ML — long-standing infrastructure for the wider community.
EpiVirQuant
Quantification for viral epitranscriptomics — the chemical marks on RNA that most pipelines never look for.
Open-source, peer-reviewed, reproducible. Not a method described in a supplementary file and forgotten — software built to be installed, maintained, and trusted by labs that have never met him.
Funded by agencies that don’t reimburse marketing claims.
88 peer-reviewed publications. 9,000+ citations and an h-index of 35. $1.95M in research funding from an unusually wide set of sponsors — agencies whose missions run from spaceflight to public health to agriculture to fundamental energy science.
That range is the point. Few investigators earn the confidence of NASA and the USDA and the NIH; doing so means the methods hold up under review by people with nothing in common except a low tolerance for work that doesn’t replicate.
The output he’ll be judged on longest isn’t software.
60+ trainees — undergraduates, graduate students, and postdocs — have come through his lab and gone on to academia, industry, and government. They learn the science, and they learn the craft: how to think computationally and experimentally, how to build things that actually work, and how to hold the line on quality when nobody would notice if they didn’t.
Every test RAW Molecular Systems sells is read with methods built to that standard, by the person who built them.
An instrument is only as good as the person reading it.
RAW Molecular Systems is a laboratory with the software built in — founded and led by a working scientist who writes the code, runs the bench, and answers to peer review rather than a growth funnel.