© 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 are bioinformaticians, computational biologists, and software engineers with experience in basic research, technology development, diagnostics, therapeutics and beyond.
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.
VP of Operations
Clint Valentine leads operations at Fulcrum Genomics and supports a team of bioinformatics scientists, software engineers, and technology professionals. Previously, Clint was the VP of Data Sciences at TwinStrand Biosciences, Inc., where he spearheaded the growth of multiple successful R&D and technology teams responsible for developing new RUO and clinical NGS software products, analytical professional services, IT, and clinical data management. Throughout his career, Clint has pioneered innovative NGS methods that are now disrupting the fields of genetic toxicology and cancer minimal residual disease monitoring. He is passionate about making discoveries that advance our understanding of the early initiating events of cancer and how to ultimately prevent disease, as well as modern software development and its potential to improve human health outcomes. Clint holds a BS in Biology, a BS in Environmental Science, and an MS in Bioinformatics from Northeastern University. He also serves on national leadership committees for genetic toxicology and provides advisory support to Northeastern University as a member of the Bioengineering Industrial Advisory Board.
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.
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.
Principal Bioinformatics Engineer
John has over 20 years of experience as a professional software engineer, including more than 10 years applying his skills to the life sciences. Most recently, he was the Senior Director of Bioinformatics at Apton Biosciences, where he led a cross-functional team supporting the development of an ultra-high throughput sequencing instrument, until it was acquired by PacBio in 2023. Previously he was a Director of Engineering at DNAnexus, where he led the development of industry-standard cloud-based bioinformatics workflows, as well as the company’s flagship dxCompiler product, which automates the execution of Workflow Description Language (WDL) and Common Workflow Language (CWL) pipelines on the cloud. He also held roles in academia and industry, applying multi-omic data analysis to challenges in oncology and common disease. John is passionate about bringing good software engineering practices to the life sciences, and he actively maintains and contributes to a variety of open-source projects that benefit from his experience and skills. John holds a PhD in Bioinformatics and Computational Biology from the University of North Carolina at Chapel Hill, and a BS in Computer Science from Northwestern University. He currently serves as a member of the OpenWDL core team.
Principal Bioinformatics Scientist
With a background in applied mathematics and over a decade of experience with analyzing genomic data in various contexts, Yossi applies his analytical skill and programming expertise to bioinformatic challenges. Yossi enjoys exploring complex data, learning about new technologies and improving analysis methods. His favorite work-related activities are developing models and algorithms, and learning about new technologies and ideas. Pet peeves include p-hacking and post-hoc statistical analysis. His non-work activities include rock-climbing, ceramics, glass-blowing, yoga, and swimming.
Distinguished Bioinformatics Engineer
Jeff Gentry has over two decades of experience applying software engineering to the life sciences. His focus has been democratizing large scale data analytics. Most recently he served as Director of Engineering at Foundation Medicine overseeing software development for their Real World Data / Real World Evidence (RWD/RWE) data products. Before that Jeff led the Batch Data Analytics group at the Broad Institute. This included the creation of the Cromwell workflow system, the Workflow Description Language (WDL), and workflow support in Terra. His prior roles include application & tool development and partnering with scientists to develop high quality software for their project. He is a member of the leadership teams for both WDL and the Common Workflow Language (CWL).
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.
Associate Bioinformatics Scientist
Add Silas’ bio here
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.