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Julie Sommer

Patent Specialist
Valneva

Dr. Julie Sommer is a Patent Specialist working in the IP Department of Valneva Austria GmbH. Her academic background includes a B.S. in Microbiology and a Ph.D. in Cellular and Molecular Pharmacology, both from USA-based universities. Julie has worked in a variety of industrial settings in roles ranging from quality assurance to basic and applied research. She moved from research to IP at Valneva more than 10 years ago and is now responsible for patent prosecution, IP searches and, most recently, development and implementation of an in-house Trade Secret Policy.

Julie Sommer

Patent Specialist
Valneva

Julie Sommer

Patent Specialist
Valneva

Dr. Julie Sommer is a Patent Specialist working in the IP Department of Valneva Austria GmbH. Her academic background includes a B.S. in Microbiology and a Ph.D. in Cellular and Molecular Pharmacology, both from USA-based universities. Julie has worked in a variety of industrial settings in roles ranging from quality assurance to basic and applied research. She moved from research to IP at Valneva more than 10 years ago and is now responsible for patent prosecution, IP searches and, most recently, development and implementation of an in-house Trade Secret Policy.

 

Corinna Sundermann

Senior Vice President Intellectual Property
Fresenius Kabi

Corinna Sundermann

Senior Vice President Intellectual Property
Fresenius Kabi

Corinna Sundermann

Senior Vice President Intellectual Property
Fresenius Kabi
 

Stephen Henn

Managing Director
Venio Systems

Stephen Henn

Managing Director
Venio Systems

Stephen Henn

Managing Director
Venio Systems

Author:

David Kanter

Founder & Executive Director
MLCommons

David co-founded and is the Head of MLPerf for MLCommons, the world leader in building benchmarks for AI. MLCommons is an open engineering consortium with a mission to make AI better for everyone through benchmarks and data. The foundation for MLCommons began with the MLPerf benchmarks in 2018, which rapidly scaled as a set of industry metrics to measure machine learning performance and promote transparency of machine learning techniques. In collaboration with its 125+ members, global technology providers, academics, and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire AI industry through benchmarks and metrics, public datasets, and measurements for AI Safety. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.

David Kanter

Founder & Executive Director
MLCommons

David co-founded and is the Head of MLPerf for MLCommons, the world leader in building benchmarks for AI. MLCommons is an open engineering consortium with a mission to make AI better for everyone through benchmarks and data. The foundation for MLCommons began with the MLPerf benchmarks in 2018, which rapidly scaled as a set of industry metrics to measure machine learning performance and promote transparency of machine learning techniques. In collaboration with its 125+ members, global technology providers, academics, and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire AI industry through benchmarks and metrics, public datasets, and measurements for AI Safety. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.

Author:

Camberley Bates

VP, Practice Lead, Data Infrastructure
The Futurum Group

Camberley Bates

VP, Practice Lead, Data Infrastructure
The Futurum Group
Interview with Chris Aydam, Midnight Venture Partners
 

Geetha Senthil

Deputy Director, Office of Special Initiatives
NCATS

Geetha Senthil

Deputy Director, Office of Special Initiatives
NCATS

Geetha Senthil

Deputy Director, Office of Special Initiatives
NCATS
 

Galen Shipman

Computer Scientist
Los Alamos National Laboratories

Galen Shipman is a computer scientist at Los Alamos National Laboratory (LANL). His interests include programming models, scalable runtime systems, and I/O.  As Chief Architect he leads architecture and technology of Advanced Technology Systems (ATS) at LANL. He has led performance engineering across LANL’s multi-physics integrated codes and the advancement and integration of next-generation programming models such as the Legion programming system as part of LANL's next-generation code project, Ristra.

Galen Shipman

Computer Scientist
Los Alamos National Laboratories

Galen Shipman

Computer Scientist
Los Alamos National Laboratories

Galen Shipman is a computer scientist at Los Alamos National Laboratory (LANL). His interests include programming models, scalable runtime systems, and I/O.  As Chief Architect he leads architecture and technology of Advanced Technology Systems (ATS) at LANL. He has led performance engineering across LANL’s multi-physics integrated codes and the advancement and integration of next-generation programming models such as the Legion programming system as part of LANL's next-generation code project, Ristra. His work in storage systems and I/O is currently focused on composable micro-services as part of the Mochi project. His prior work in scalable software for HPC include major contributions to broadly used technologies including the Lustre parallel file system and Open MPI.

 

Sandeep Singh

Director - Applied DL & Computer Vision
Beans.ai

Sandeep Singh

Director - Applied DL & Computer Vision
Beans.ai

Sandeep Singh

Director - Applied DL & Computer Vision
Beans.ai