Alessandro Morari

Alessandro Morari Email and Phone Number

Leading AI R and D @ AI for Physics Startup @ Stealth Startup
United States
Alessandro Morari's Location
New York, New York, United States, United States
About Alessandro Morari

Technical Leader and Researcher with over 15 years of experience in High Performance Computing (HPC) and Deep Learning. I am leading a team of specialists hands-on to accelerate AI software end-to-end, advancing NVIDIA's leadership in this space. My tenure includes spearheading the AI for Code research at IBM, which led to the creation of the Watson Code Assistant. In 2018, I contributed to developing the Summit and Sierra supercomputers, the world's fastest supercomputers. In 2014, I spearheaded PNNL's GEMS project, a high-performance, massively multithreaded graph database, which led to the spinoff of the startup Trovares.I developed and taught the first graduate course on HPC for Machine Learning at New York University. I have contributed to more than 30 academic publications and 15+ patents.

Alessandro Morari's Current Company Details
Stealth Startup

Stealth Startup

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Leading AI R and D @ AI for Physics Startup
United States
Alessandro Morari Work Experience Details
  • Stealth Startup
    Leading Ai R And D @ Ai For Physics Startup
    Stealth Startup
    United States
  • Nvidia
    Developer Technology Engineer, Manager, Ai
    Nvidia
    United States
  • Nvidia
    Developer Technology Engineer And Manager, Ai
    Nvidia Mar 2024 - Present
    New York City Metropolitan Area
    Hands-on technical leader of a team of AI and GPU specialists. Optimizing AI software end-to-end, from Deep Learning algorithms to low-level performance:- NeMo framework- PyTorch- TensorRT-LLM- Python, C++, CUDA
  • Atlantic Business Labs Inc.
    Co-Founder And Advisor
    Atlantic Business Labs Inc. Jan 2022 - Present
    Fostering the US-Italian ecosystem. Technology Advisory.
  • Nextstep Portfolios Llc
    Advisory Board Member
    Nextstep Portfolios Llc Jun 2022 - Present
    Technology Advisory.
  • Ibm
    Senior Research Scientist, Tech Lead, Manager | Deep Learning & Hpc
    Ibm Jan 2019 - Mar 2024
    •Leading the implementation of GPU kernels with the Triton compiler•Evaluating Transformer memory footprint and scalability with Pytorch •Led the creation of a generative model based on CodeGen (PyTorch, Kubernetes, Docker, NVIDIA GPUs) that resulted in the Watson Code Assistant.•Led the application of BERT transformers to static analysis for C/C++ source code.•Led the application of ML and transformers to create a database for vulnerability detection extracting data from GitHub.
  • Ibm
    Research Staff Member, Manager | High Performance Computing
    Ibm Jan 2017 - Dec 2018
    Greater New York City Area
    • Developed tools to reduce Linux OS noise for the Summit and Sierra supercomputers (world's fastest in 2018) successfully delivered to the Department of Energy (Linux OS).• Led the research and design of a novel high-performance runtime system enabling a global address space on a distributed cluster (C/C++).
  • Ibm
    Research Staff Member | High Performance Computing
    Ibm Apr 2016 - Dec 2016
    Greater New York City Area
    • Developed a tool to accurately measure the Linux OS noise on the Summit and Sierra supercomputers (Bash and C language).• Identified and solved performance bottlenecks deriving from the Linux OS activity.
  • New York University
    Adjunct Professor - High Performance Machine Learning
    New York University Jan 2018 - Dec 2018
    Greater New York City Area
    Developed the first graduate course on High Performance technologies for Machine Learning. Topics: Python internals, PyTorch, NVIDIA CUDA, cuDNN, cuBLAS, MPI, GPUs, Multicore CPUs, high performance networks. The course is still being taught at NYU and other universities.
  • Pacific Northwest National Laboratory
    Research Scientist | High Performance Computing
    Pacific Northwest National Laboratory Oct 2013 - Jan 2016
    Seattle
    • Developed the high-performance distributed index and SPARQL data ingestion engine for the GEMS distributed graph database (C/C++ language).• Developed a distributed and massively multithreaded runtime system (GMT see link in github) for the high-performance distributed RDF/SPARQL database GEMS (C language and x86 assembly). GEMS can perform queries with billions of RDF triples in seconds.• The project resulted in the spin-off of Trovares, a large scale graph analytics startup.
  • Pacific Northwest National Laboratory
    Research Associate | High Performance Computing
    Pacific Northwest National Laboratory Jan 2012 - Sep 2013
    Richland/Kennewick/Pasco, Washington Area
    • Developed highly efficient parallel algorithms for the Tilera TILEPro 64 many-core processor (C language).
  • Barcelona Supercomputing Center
    Researcher - Associate | High Performance Computing
    Barcelona Supercomputing Center Jan 2009 - Dec 2011
    Barcelona Area, Spain
    • Developed tools to evaluate large scale Operating System noise on IBM Blue Gene P (C language).• Developed a performance model for multi-core architectures (Matlab).
  • I-Node S.R.L.
    Software Engineer | Web Development
    I-Node S.R.L. Jan 2006 - Nov 2006
    Developed an advanced software framework to build PHP web applications.

Alessandro Morari Education Details

Frequently Asked Questions about Alessandro Morari

What company does Alessandro Morari work for?

Alessandro Morari works for Stealth Startup

What is Alessandro Morari's role at the current company?

Alessandro Morari's current role is Leading AI R and D @ AI for Physics Startup.

What schools did Alessandro Morari attend?

Alessandro Morari attended Universitat Politècnica De Catalunya, Università Di Roma Tor Vergata, Università Degli Studi Di Roma Tre.

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