Since its debut 10 years ago at the Bio-IT World Conference & Expo, the annual Trends from the Trenches presentation, given by Chris Dagdigian, has been one of the most popular annual traditions. The intent of the talk is to deliver a candid (and
occasionally blunt) assessment of the best, the worthwhile, and the most overhyped information technologies (IT) for life sciences.
In light of evolving updates and concerns around the coronavirus, the Trends from the Trenches keynote session will be rescheduled to October 8. Bio-IT World Conference & Expo has been rescheduled to October 6-8, 2020.
As we face the unprecedented task of fighting this pandemic and working together while maintaining social distancing, Bio-IT takes the leadership role of keeping our life science community connected by bringing you Trends from the Trenches digitally...all
without leaving your computer. This webinar will be an interactive, Q&A-moderated discussion with the panelists and attendees. Learn the latest in HPC, storage, data transfer, networks, and cloud that are involved in supporting data-intensive
science. Come prepared with your questions and commentary for this informative and lively session. Prerequisite is viewing the Trends from the Trenches recorded presentation from the 2019 Bio-IT World Conference & Expo found here.
- Hear an assessment of the best, the worthwhile, and the most overhyped information technologies (IT) for life sciences
- Learn the latest in HPC, storage, data transfer, networks, and cloud that are involved in supporting data-intensive science
Chiefs, Vice Presidents, Directors, Managers, Researchers, Leads, and Scientists from Pharma, Biotechs, Academia, Government and Healthcare Organizations working in Data Management, Data Science, Storage/Backup/HPC Administration, Research Computing,
Scientific Computing, System Engineering, and Technology
Jeff Denworth is VP of Products and co-founder of VAST Data, with over a decade of experience in big data and cloud storage technologies. Prior to VAST, Jeff served as the SVP of Marketing at CTERA Networks, and the VP of Marketing at DataDirect Networks
(DDN) where he oversaw marketing, business, and corporate development in a time of rapid sales growth. Prior to DDN, Jeff held sales roles at Cluster File Systems, Inc. and Dataram Corporation.
Vivien Bonazzi, PhD
Chief Biomedical Data Scientist
Vivien Bonazzi, PhD, recently joined its government and public services practice as both a managing director and its chief biomedical data scientist for Deloitte Consulting LLP. In this position, Bonazzi will focus on helping federal agencies utilize
data science methods, technologies and cyberinfrastructures to better understand and utilize biomedical data. Previously, Bonazzi was a senior advisor in the Office of the Director at National Institutes of Health (NIH) as well as co-founder and leader
of the NIH Data Commons. In her role, she focused on creating connections across all NIH institutes, other government agencies, nonprofit, and commercial organizations in the U.S. and internationally to create new ways to share, access, analyze, find
and provide attribution to biomedical data and tools regardless of geographical location, size, or complexity of Prior to NIH, Bonazzi held several roles in the private and nonprofit sector, including Bonazzi holds a Bachelor of Science degree from
the University of Canberra, Australia, and a master's degree and doctorate in biomedicine and computational biology from the University of Melbourne, Australia.
Co-Founder and Senior Director
Infrastructure, BioTeam, Inc.
Bioinformaticist-gone-bad Chris Dagdigian has spent much of the last 15 years designing, building, fixing and improving research-focused HPC and IT systems for use in demanding production computing environments. He occasionally is known to blog, tweet
and speak about industry trends and best practices. Formerly of Blackstone Computing and Genetics Institute, Dagdigian specializes in research computing and infrastructure technology issues in the life sciences. A supporter of free software and open
standards for life science research, he is a founding member of the Bioperl Project, co-founder of the Bioclusters mailing list and serves on the board of directors as Treasurer of the Open Bioinformatics Foundation.
Network Engineer, Science Engagement, Energy Sciences Network (ESnet)
Lawrence Berkeley National Laboratory
Eli Dart is a network engineer in the ESnet Science Engagement Group, which seeks to use advanced networking to improve scientific productivity and science outcomes for the DOE science facilities, their users, and their collaborators. Eli is a primary
advocate for the Science DMZ design pattern and works with facilities, laboratories, universities, science collaborations, and science programs to deploy data-intensive science infrastructure based on the Science DMZ model. Eli is also a key contributor
to the ESnet network requirements program, which collects, synthesizes, and aggregates the networking needs of the science programs ESnet serves. Eli has over 20 years of experience in network architecture, design, engineering, performance, and security
in scientific and research environments. His primary professional interests are high-performance architectures and effective operational models for networks that support scientific missions, and building collaborations to bring about the effective
use of high-performance networks by science projects. As a member of ESnet's Network Engineering Group, Eli was a primary contributor to the design and deployment of two iterations of the ESnet backbone network - ESnet4 and ESnet5. Prior to ESnet
Eli was a lead network engineer at NERSC, DOE's primary supercomputing facility, where he co-led a complete redesign and several years of successful operation of the high-performance network infrastructure there. In addition, Eli spent 14 years as
a member of SCinet, the group of volunteers that builds and operates the network for the annual IEEE/ACM Supercomputing conference series, from 1997 through 2010. He served as Network Security Chair for SCinet for the 2000 and 2001 conferences and
was a member of the SCinet routing group from 2001 through 2010. Eli holds a Bachelor of Science degree in Computer Science from the Oregon State University College of Engineering.
Susan K. Gregurick, PhD
Associate Director, Data Science (ADDS) and Director, Office of Data Science Strategy (ODSS)
National Institutes of Health
Susan K. Gregurick, PhD, was appointed Associate Director for Data Science and Director of the Office of Data Science Strategy (ODSS) at the National Institutes of Health (NIH) on September 16, 2019. Under Dr. Gregurick’s leadership, the ODSS leads
the implementation of the NIH Strategic Plan for Data Science through scientific, technical, and operational collaboration with the institutes, centers, and offices that comprise NIH. Dr. Gregurick was instrumental in the creation of the ODSS in 2018
and served as a senior advisor to the office until being named to her current position. Dr. Gregurick was previously the Division Director for Biophysics, Biomedical Technology, and Computational Biosciences at the National Institute of General Medical
Sciences (NIGMS). Her mission in this role was to advance research in computational biology, biophysics and data sciences, mathematical and biostatistical methods, and biomedical technologies in support of the NIGMS mission to increase our understanding
of life processes. In this role Dr. Gregurick led the institutes effort to reimagine the NIGMS technology programs including early stage, concept development, focused technology programs, development and dissemination centers, through National and
Regional Resources to support state-of-the-art facilities, equipment, technologies, research tools, software, and service. Prior to joining the NIH in 2013, Dr. Gregurick was a program director in the Office of Biological and Environmental Research
at the Department of Energy (DOE). In this role, she developed the information and data sharing policy for the agency’s Genomics Science Program and oversaw the development and implementation of the DOE Systems Biology Knowledgebase, a framework
to integrate data, models, and simulations together for a better understanding of energy and environmental processes. Dr. Gregurick is an advisory council member for the DOE’s Office of Advanced Scientific Computing Research and a member of
two National Science Foundation advisory committees – the Biological Sciences Advisory Committee and the Computer and Information Science and Engineering Committee. She has received several awards during her tenure at NIH, including two NIH
Director’s Awards. Before beginning a career of government service, Dr. Gregurick was a professor of computational chemistry at the University of Maryland, Baltimore County. Her research interests included dynamics of large biological macromolecules,
and her areas of expertise are computational biology, high performance computing, neutron scattering and bioinformatics. Dr. Gregurick received her undergraduate degree in chemistry and mathematics from the University of Michigan and her PhD in physical
chemistry from the University of Maryland. She completed a Lady Davis postdoctoral fellowship at Hebrew University in Israel and a Sloan postdoctoral fellowship at the University of Maryland’s Center for Advanced Research in Biotechnology, now
the Institute for Bioscience & Biotechnology Research, in Shady Grove, MD.
Senior Scientific Consultant for AI+HPC, The BioTeam, Inc.; former Global Alliance Manager for Genomics HPC+AI
Fernanda recently joined BioTeam as a Senior Scientific Consultant. She previously had a role at NVIDIA as a GPU Developer Advocate for Bioinformatics in the Healthcare group where she fostered an emerging community in AI and GPU computing. Before NVIDIA,
Fernanda held roles as an HPC Data Scientist in the Biomedical Sciences and Engineering group and was an HPC Programmer and Training Coordinator at the Oak Ridge National Lab's Leadership Computing Facility. She participated in the CORAL project that
selected Summit as the next supercomputer to replace Titan, was co-PI of Kokkos Exascale Computing Project, served in OpenACC and OpenMP language standards and is the “inventor” of the GPU Hackathon training series. Other interests include
intersection of HPC and AI, facilitating data integration workflows, and productivity in scientific application development.
Data Commoner-at-Large; former Vice President and Chief Data Officer
Fred Hutchinson Cancer Research Center
In his former role at the Fred Hutchinson Cancer Research Center, Matthew Trunnell oversaw enterprise and scientific computing services and leads the Hutch Data Commonwealth, a team of data analysts and software engineers building new capabilities to
leverage clinical data for research. Trunnell came to the Hutch from the Broad Institute of MIT and Harvard, where he had served as head of CIO and manager of research computing, during the period of explosive growth in research data infrastructure
capabilities, in support of the growth in next-generation sequencing activities. As IT and informatics became more central to the large-scale generation of data, Trunnell initiated a new organization within the Institute, bringing together computational
biologists and professional software engineers focused on developing advanced informatics capabilities. Having started his professional life as a computational oceanographer, Trunnell found his way into the genomics world in the late 90’s and
has been supporting applied scientific computing in both academic and commercial environments since.
Chief Executive Officer
Ari is the Chief Executive Officer for BioTeam. He has been a scientist for 15 years and an HPC expert for 26 years. He also has 15 years of management experience and 8 years of business strategy and operations experience. Ari received his Ph.D. in Molecular
Biology with a focus on Neuroscience in 2005 from the University of Texas at Austin (UT). His graduate work focused on studying the effects of genetics on addictive behaviors such as alcoholism. His postdoctoral fellowships at the University of California,
San Francisco (UCSF) and the Buck Institute for Research on Aging focused on improving our understanding of neurodegenerative diseases of aging (specifically, Parkinson’s and Alzheimers Disease) by utilizing a combination of laboratory science
and animal models, as well as bioinformatics and computational biology. Ari is also an expert in Scientific Computing specializing in high performance computing (HPC), high-performance networks, data centers, storage, cloud, general IT infrastructure,
and bioinformatics and data analytics. He has been designing, building, and operating scientific computing environments for 26 years and strives to advocate for science and empower researchers to make discoveries from their complex datasets. His ultimate
goal is to help create a dynamic enough abstraction of flexible infrastructure from research end-users to enable anyone to analyze and gain knowledge from very complex datasets.
VAST Data is the storage company bringing an end to complex storage tiering and HDD usage in the enterprise. VAST breaks the decades-old storage performance and capacity tradeoff to enable bioinformatics applications at any scale to benefit from the speed, IO consistency, and simplicity of all-flash parallel file system storage.
Cost: No Cost!