Alex Crits-Christoph

Alex Crits-Christoph

I am a computational microbiologist with 13 years of experience in genomics. I've worked on a wide range of diverse projects across microbial genomics, evolution, machine learning, and synthetic biology.

Experience

// where I've worked

2022 -- 2026

Senior Computational Biologist

Cultivarium

Cultivarium is a non-profit focused research organization developing open source tools for microbiology. We have developed new computational approaches, designed open molecular toolkits, and engineered novel organisms.

2021 -- 2022

Postdoctoral Researcher

Johns Hopkins School of Public Health

I was a postdoc in Jotham Suez's Lab at JHSPH, studying mechanistic and causative interactions between the gut microbiome and metabolic syndrome.

2021

Computational Biologist

Pattern Ag (merged with EarthOptics)

I designed and developed the soil metagenomic pipelines to detect the most harmful pathogens of major crops in the US.

2016 -- 2021

PhD in Microbiology

University of California, Berkeley

I completed my PhD in the laboratory of Jill Banfield on the evolution, ecology, and genomics of microbial specialized metabolisms, primarily using genome-resolved metagenomics.

2012 -- 2016

B.A. in Biophysics

Johns Hopkins University

Undergraduate studies in biophysics, performing research in the lab of Jocelyne DiRuggiero on metagenomics of extremophiles.

Projects

// a few of the things I've built or discovered

Discovering novel soil microbes

Discovering novel soil microbes

Using genome-resolved metagenomics, I identified deep branching lineages of soil Acidobacteria with genes for production of diverse natural products.

SARS-CoV-2 variant sewage surveillance

SARS-CoV-2 variant sewage surveillance

Worked on a cross-disciplinary project at UC Berkeley to be one of the first in the world to track exact viral variants using wastewater epidemiology.

Wildlife origin of SARS-CoV-2

Wildlife origin of SARS-CoV-2

Performed the metagenomic analysis of animal wildlife at the market origin of the COVID-19 pandemic to identify the most plausible intermediate viral hosts.

Engineering Ideonella sakaiensis

Engineering Ideonella sakaiensis

Published the first genetic tools for the plastic-degrading microbe I. sakaiensis, developing and analyzing a randomly-barcoded mutant library to identify genes involved in plastic degradation.

MicrobeMod: prokaryotic methylation detection

MicrobeMod: prokaryotic methylation detection

Developed MicrobeMod, the earliest software for identifying patterns of three types of prokaryotic methylation using R10 Oxford Nanopore sequencing.

Bayesian optimization for electroporation

Bayesian optimization for electroporation

Designed a bayesian optimization algorithm to identify optimal microbial electroporation conditions, leading to an improved electroporation protocol for Cupriavidus necator.

Scientific Publications

// 52 papers