Corey Lammie
Research Scientist at IBM
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolCorey Lammie is a research scientist at IBM Research Zürich with a PhD in Computer Engineering and roughly a decade of experience in systems-level research for distributed and heterogeneous computing. He focuses on compiler and runtime optimizations, software/hardware co-design for accelerators, dataflow mapping, and performance modeling to bridge high-level frameworks and efficient hardware execution. Corey’s work is recognized by multiple competitive awards including an IBM International PhD Fellowship and Australia’s top-paid DPRTPS scholarship, and he has contributed as guest editor and conference track chair in IEEE circuits and systems venues. He progressed from PhD candidate and postdoc roles at James Cook University to an ongoing research scientist position at IBM, bringing both teaching and hands-on research mentorship experience. Known for translating theoretical performance models into scalable software infrastructure, he blends deep academic rigor with practical engineering that targets large-scale workloads. An early background in retail supervision hints at a pragmatic, team-oriented approach to complex project delivery.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Engineering and Related Technologies) Computer Engineering, Doctor of Philosophy (Engineering and Related Technologies) Computer Engineering at James Cook University
Github Skills (47)
computational-neuroscience10
python10
machine-learning10
simulation-framework10
hardware10
deep-learning10
gpu10
cuda10
simulation9
pytorch9
numpy9
acceleration9
autograd9
tensorflow9
ai9
Programming languages (5)
Github contributions (5)
coreylammie/MemTorch
Apr 2020 - Apr 2022
A Simulation Framework for Memristive Deep Learning Systems
Contributions:2 releases, 4 reviews, 62 commits in 2 years
rram-modelingsimulation-frameworkmemristive-devicesdeep-learningmemristor
Contributions:72 commits, 1 push in 1 year 3 months
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