As head of bioinformatics at this Series-C biotech startup, responsible for design and implementation of Nutcracker's cloud-based computational biology platforms. Principal architect and developer behind Nutcracker's innovative RNA design platform, featuring custom optimization algorithms in an NP-hard design space, proprietary predictive AI models, an intuitive web interface, and a modern serverless architecture in AWS.Launched Nutcracker's deep learning efforts and designed and built the infrastructure needed to support them. Leverage public and in-house data and RNA biology expertise to train a diverse set of AI models centered around designing RNA molecules that are highly effective and manufacturable.Lead a multifunctional team to design and deliver a cutting-edge next-generation sequencing assay and analytical platform, a key quality control component for manufactured nucleic acid products.Work closely with the Quality Assurance team to define and institute a comprehensive compliance framework for cloud application development adhering to FDA standards, particularly 21 CFR Part 11. Define full cloud application stacks using Terraform (IaC) and GitHub Actions CI/CD, ensuring a robust and scalable infrastructure.

Advise and assist in NGS analysis and cloud computing infrastructure. Collaborate with cloud architects to build automated NGS bioinformatics pipelines in AWS. Work with R&D scientists to help understand error profiles in laboratory processes.

Led Ancestry efforts in its quantitative evaluation of accuracy for AncestryHealth®, an NGS-based CLIA-validated inherited health risk screening assay based on exome sequencing.Designed and performed experiments to determine exome variant filtration recommendations that maximized accuracy in a cost-effective manner. Communicated and fostered an understanding of technical results among a diverse group of stakeholders.Designed and implemented a novel machine learning based method for estimating cross-sample contamination.

Designed and optimized a 5,000-exon capture array panel and used this resource to perform laboratory work for large-genome amphibian population genetics.Analyzed population genomic datasets, including RADseq, exon capture, and low-coverage WGS in endangered reptiles and amphibians.Designed and administered the lab's computational and data storage infrastructure.

Yellow anaconda population genetics and bioinformatics.

Conducted research for this global citizen sector organization that grows the field of social entrepreneurship. Edited and produced organizational publications, and supported programs across a wide range of social issues including the environment, education, and health.

Fish phylogenetics research. Fossil-calibrated molecular clock divergence time estimate of extant coelacanth species. Considerable field work experience collecting darters and other freshwater fishes in the American Southeast.