© 2023 Fulcrum Genomics. All Rights Reserved
We speak Biology. We build bioinformatics tools, pipelines, and systems. We apply and invent cutting-edge scientific methods and algorithms. Your success is our success.
Generating insights from the data can be a source of pride and identity, but it can also be a source of frustration and anxiety. Those insights can drive the success of your business. Providing those key insights to advance the understanding of disease and biology is what we do.
We’re proud of the clients we serve, the team we’ve built, and the projects completed. Here are the summary statistics.
We deliver value and insights consistently over the long haul and are evolve to meet your needs over time.
From small high-value projects, to long-term on-going engagements, we've done them all.
From single-person startups and small R&D teams, to the largest pharma, life science, and diagnostic companies in the world
We’ve assembled a team of world-class bioinformaticians so you don’t have to.
We are bioinformaticians, computational biologists, and software engineers with experience in basic research, technology development, diagnostics, therapeutics and beyond.
Fulcrum Genomics, LLC
1840 Folsom Street, Suite 304
Boulder, CO, 80302
© 2023 Fulcrum Genomics. All Rights Reserved
Founding Partner
Founding Partner
Nils Homer is a Founding Partner at Fulcrum Genomics LLC and has over a decade of cutting-edge experience developing methods and software for the analysis of next-generation sequencing data. He has led high-pace technology and product development efforts at both industry and academic positions, and has directed teams of software developers to support the largest academic genome sequencing facility in the world for both research and clinical applications. Nils has also participated in the technology development and subsequent commercial launch of multiple sequencing assays and technologies, providing critical understanding for technical improvements in chemistry, molecular biology, and software. He combines his skill in developing novel methods, algorithms, and software with his understanding of the data produced to provide key insights into biological research and discovery. Nils holds a Masters and PhD in Computer Science from UCLA investigating methods applied to genomics, including alignment and variant detection for whole genome sequencing. He received his BA (Computer Science and Mathematics) from Colgate University. Nils previously served on the Scientific Advisory Board for Edico Genome until acquisition by Illumina.
Principal Bioinformatics Software Engineer
Jay Carey has over two decades of experience in software engineering and bioinformatics. Combining a love for technology and science, he has provided practical and pragmatic solutions for the technical challenges of processing large genomic data sets. He has led teams of engineers to tackle the multitude of complex issues involved in scaling the processing of genomic data, while preserving the scientific validity of the data being produced. Prior to joining Fulcrum Genomics, Jay was the Technical Lead and Principal Software Engineer for the NGS Production Pipelines team at the Broad Institute. He led the team responsible for expanding the Broad Institute’s production sequencing pipelines by utilizing cloud processing and also wrote and maintained the pipeline and LIMS for all genotyping arrays. In addition, he was a maintaining author of both the Picard suite of tools and the HTSJDK file formats specifications. In his freetime, Jay enjoys spending time with his family and skiing.
Staff Bioinformatics Scientist
Ted Brookings has 5 years of experience developing algorithms and cloud pipelines for structural variant discovery. He received his PhD in physics from UC Santa Barbara for work in the intersection of theoretical neuroscience and complex systems. He then spent ten years analyzing and developing models of electrophysiology data as a postdoc in a wet lab at Brandeis, and then as a software engineer at Q-State Biosciences. Subsequently he joined the structural variants group at the Broad Data Sciences Platform, and helped stand up the experimental structural variant pipeline.
Staff Bioinformatics Scientist
Vivian Hecht has over five years of experience in data analysis and statistical modeling for a range of genomic data types. She received her PhD in biological engineering from MIT for work involving using microfluidic cantilevers to measure cellular biophysical properties. She transitioned to computational biology and bioinformatics as a staff scientist in the Epigenomics Program at the Broad Institute, where she worked at the intersection of epigenetics and statistical genetics. She has additional experience with analyzing data in both clinical and start-up contexts. Her favorite analysis methods tend to be the ones that are the simplest and easiest to explain.
Bioinformatics Intern
Samantha White will complete her masters in bioinformatics from Northeastern University in the Spring of 2023. During her undergraduate at, Colorado State University, she completed research in metagenomics, virology, and microbiology. After receiving her B.S in biological science, she declined a Graduate Research Fellowship from the National Science Foundation to pursue a career in bioinformatics. Most recently she completed a co-op with Verve Therapeutics where she built a pipeline for variant aware off-target nomination. She looks forward to a career developing bioinformatics tools and contributing to efforts in gene therapy.
Staff Bioinformatics Scientist
Nathan Roach has almost a decade of experience working closely with biologists to solve computational problems and over half a decade of experience working in bioinformatics specifically. Nathan received his PhD in Biology from the Cell, Molecular, Developmental Biology and Biophysics department at Johns Hopkins University for his thesis work on the computational analysis of long-read direct-RNA-sequencing. He also has a dual degree B.S. in Biology and Computer Science from the University of North Carolina at Chapel Hill. He’s leveraged his training in both Biology and Computer Science to facilitate development of novel analysis tools and pipelines, both in industry and academia.