2025
Computational biology consulting, specializing in metagenomics and multi-omics integration.
2024
Developing novel sequencing technologies and applications.
2020
Microbiome analysis and research services.
2019
Microbiome therapeutics through ecosystem management and omics analysis.
2018
Research on neonatal intensive care unit microbiomes.
2018
Research on microbial transmission in NICU rooms using machine learning and metagenomics.
2017
Research on microbial strain transmission from hospital surfaces to infants and environmental adaptation.
2016
Research presentation on microbial ecology at the 16th International Society for Microbial Ecology Congress.
2015
Research presentation on NICU microbial transmission at the International Human Microbiome Congress 2015.
2015
Research on microbial metabolism in premature infants using metaproteomics, revealing insights into oxygen presence and strain-level competition.
2015
Research on microbial strain sharing in premature infants with necrotizing enterocolitis, revealing unexpected diversity in microbial colonization patterns.
2014
Pilot study on microbial transmission in NICU environments and its impact on preterm infant microbiomes, revealing room-infant microbial relationships.
2013
Head organizer of the Microbiology Student Group Spring Symposium at UC Berkeley, coordinating speakers and managing logistics for this annual research event.
2013
Final research poster presenting findings from our pilot study on microbial transmission between NICU environments and preterm infant microbiomes.
2011
Graduate rotation project comparing DNA extraction kits for Crohn's disease cohort studies. Presented at BAGECO 2011; see poster for details.
2009
Interdisciplinary art-science project fusing microbiology with Renaissance art, featuring a bacterial recreation of The Creation of Adam.
2008
Research poster presented at the 2008 Wentz Spring Research Symposium: The Effects of Tanning Beds on the Normal Microbial Floral of the Human Skin by B. Brooks.
Oct 14, 2026
Journal Safari #7. DeepMind's AlphaGenome reads a megabase of DNA, predicts thousands of genomic tracks, and matches or beats the strongest competing model on 25 of 26 variant tests, mostly by a little. It calls the direction of a variant's effect far better than the size, which makes it a scanner rather than a verdict, and a decent preview of where AI in biology is right now.
Oct 4, 2026
I wanted a cheap AI model to pick the one biology preprint worth reading out of hundreds. With no hand-labelled answers to check against, I graded 20 cheap model setups on how closely they matched an expensive one, Claude Sonnet 5, for under $3. The best match came from outside Sonnet's family, and the setup I now run costs about $2 a year.
Sep 30, 2026
Journal Safari #6. A Nature Genetics paper ran exome-style burden tests on 708,956 whole genomes for BMI and type 2 diabetes. Whole-genome sequencing turned out to be a better exome, worth about a fifth more signal, and the most interesting biology in it, a kidney effect of IRS2, rests on a few dozen carriers.