A serial entrepreneur, Jeff has wide ranging experience and unique ability to excel in strategy, technology, sales & marketing, and operational excellence. His track record includes three successful startups and management consulting in all sized organizations: from a 1-person startup to Fortune 100. Most recently, he was the Founder and CEO of ActiveStrategy, Inc., a software and management consulting firm aimed at improving individual, team, and corporate performance. At ActiveStrategy, in addition to leading the company, Jeff provided management consulting to many leading organizations, including Accenture, Wyeth, Kaiser Permanente, Saudi Telecom, Intel, EMC, and NATO. After its sale to The Advisory Board Company, Jeff served as Executive Director of the business line and was a thought leader and public speaker in healthcare strategy and technology. Earlier, Jeff was Vice President at CorNet International where his leadership was recognized by the Governor as a “Pennsylvania Success Story” and instrumental to the acquisition of CorNet by Dendrite International. Before CorNet, Jeff was part of IMS Health’s Xplorer Group where he created the industry’s first Pharmaceutical Marketing web application. Jeff holds a B.S. and M.S in Computer Science from East Stroudsburg University where he specialized in Software Engineering, Robotics, and Artificial Intelligence.
Bharad has over 19 years of high technology experience in CPU design, cache coherency, scalable high performance fabrics, specialized computing, and high-speed flash memory in senior architecture positions at Intel, Huawei, and Violin Memory prior to joining NVXL. He was one of the key architects of Intel's QPI MP with glueless and directory-based home agents that is central to the highly successful Xeon-EX line of servers. At Violin, he designed a flash controller architecture for low latency and high density and led the team to map it to FPGAs that have since been shipped with all Violin All-Flash Arrays. He has several publications, nine issued patents, and several pending patents in CPU design, machine learning acceleration, and NVM technologies. His primary interest is cluster-distributed parallel programming algorithms in deep learning such as distributed stochastic gradient descent. He is currently focused on building high density clustered acceleration for compute and data-intensive workloads such as deep learning and in-memory databases, and exploiting the data locality between data stores and AI accelerators. He has a Master of Science in Computer Engineering from Virginia Tech where his research thesis was on systolic pipelines for image recognition. He also holds a Bachelor's degree in Electrical Engineering from Andhra University, India.
VP, PRODUCT MARKETING
Michael has over 20 years of strategic planning, product management and business development experience leading high technology companies. His area of expertise spans across data center infrastructure, including software, hardware and semiconductors. He co-founded NVXL with a proven track record of identifying, building, and maximizing value at industry intersections by defining new business models, establishing targeted ecosystems, and executing creative go-to-market strategies. He has extensive career experience with leading high technology companies like Seagate Technology, LSI Corporation, and Marvell Semiconductor. Michael has an MBA from the Haas School of Business, University of California, Berkeley; a BSEE in Electronics and Communications Engineering from the National Chiao Tung University.
VP, SOFTWARE ENGINEERING - MACHINE LEARNING & ORCHESTRATION
Claudionor joined NVXL in 2016 and has over 20 years of industry experience working most notably at Synopsys, Inc., where he was a VP of Debug, CTO for Debug and Fellow working on debugging of emulation systems containing hundreds of FPGAs, and Cadence Design Systems, which acquired Jasper Design Automation (2013 Red Herring Top 100 Company in North America), where he was an SVP of R&D. Claudionor has worked in several companies in the US, both in technical and in upper management positions, including Integrated Information Technology (NASDAQ: EGHT), performing the formal verification of a pipelined high-performance x86 processor, and in Verplex Systems (NASDAQ: CDNS), where he directed the BlackTie™ team and being one of the creators of the IEEE Open Verification Library (OVL). He was also a founder of several successful startups, and he was a counselor for FirCapital Partners in startup strategy and technology. He holds four degrees: a Ph.D. in Electrical Engineering/Computer Science from Stanford University; an MBA from IBMEC; a M.Sc. in Computer Science from the Universidade Federal de Minas Gerias; and a B.S. in Electrical Engineering from the Universidade Federal de Minas Gerias (Summa Cum Laude). He also served as an Associate Professor at the Computer Science Department at the Universidade Federal de Minas Gerais, having over 80 conference papers and book chapters and seven patents in verification, data visualization/debugging, and machine learning.
SENIOR DIRECTOR - SYSTEM ARCHITECTURE & HARDWARE DEVELOPMENT
Dr. Gallippi joined NVXL in early 2017 and has an extensive work history with companies such as Gigamon, Citrix Systems, Luminescent Technologies, and Ciena. He is a proven leader, guiding engineering teams through design and development processes. He has experience with high performance computing, embedded systems, technology R&D, PCB design, firmware design, signal processing, FPGA design and methodology, and CM/ODM management. While at Gigamon, he co-architected the company’s first H-series platform and designed control and power modules, switch fabrics, and backplanes. He also grew a successful team that delivered more than 25 products across 10 platforms to market.
Dr. Gallippi holds three degrees including a Ph.D. in Electrical Engineering from the University of Southern California; an M.S. in Electrical Engineering from the University of Southern California; and a B.S. in Electrical Engineering from Carnegie Mellon University.
PRINCIPAL SOFTWARE ARCHITECT
Dr. Han has more than 20 years of experience developing applications in artificial intelligence (AI), image processing, deep learning, software design, and computer vision. He has worked at KLA-Tencor, General Electric, and Intel. Recently at Intel, he developed a Nanovision (NV) image analysis and simulation tool for semiconductor metrology measurement. Dr. Han also designed several automatic image processing applications to support daily production activities.
Dr. Han has authored 3 U.S. patents and holds the following degrees: a Ph.D. Computer Science from Wayne State University; an M.S. Computer Engineering from Tsinghua University; and a B.S. Computer Engineering from Tsinghua University. He is also fluent in English, Mandarin Chinese, Japanese, and Korean.
Board of Advisors
Dr. Malik is a pioneer in design methodology and automation for computing systems and current Chair of the Department of Electrical Engineering at Princeton University. His research in functional timing analysis and propositional satisfiability has been widely used in industrial electronic design automation tools. Dr. Malik received his Ph.D. in Computer Science from the University of California, Berkeley. He has been awarded the DAC Award as an author of the most cited DAC paper in first 50 years of the conference. He is also the recipient of the ICCAD Most Influential Paper Award and the CAV Award for fundamental contributions to the development of high-performance Boolean satisfiability solvers. Dr. Malik’s current work focuses on developing a methodology for the design of accelerator-based platforms.
Dr. Xiao is the Founder and CEO of AutoX Inc., a high-tech startup working on AI software solution for self-driving vehicles. The AutoX mission is to democratize autonomy and make autonomous driving universally accessible to everyone. Dr. Xiao has over a decade of experience in computer vision, autonomous driving, and robotics technologies. He holds a Ph.D. from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). He is a recipient of the 2012 Google Research Best Papers Award, the 2012 Google U.S./Canada Fellowship in Computer Vision Award, the MIT CSW 2011 Best Research Award, the NSF/Intel VEC Research Award in 2016, and two Google Faculty Awards in 2014 and in 2015, respectively. He also co-lead the MIT+Princeton joint team to participate in the Amazon Picking Challenge in 2016, and won the 3rd and 4th place worldwide.
Photo credit: MIT Technology Review
Dr. Danny Lange has a distinguished career in machine learning and artificial intelligence that spans some of Silicon Valley's largest companies. Currently, Dr. Lange is the Vice President of AI and Machine Learning at Unity Technologies, leading multiple initiatives in the field of applied Artificial Intelligence. Previously, Danny was Head of Machine Learning at Uber, leading efforts to build a highly scalable machine learning platform to support all parts of Uber's business from the Uber App to self-driving cars. Before Uber, Danny was the General Manager of Amazon Machine Learning and launched an AWS product offering machine learning as a cloud service to the public. He has also worked as the Principle Development Manager at Microsoft and as the CTO of General Magic, Inc. He received a Ph.D. in Computer Science from the Technical University of Denmark and holds 22 patents.