Adam Mclaughlin
Research Scientist Engineer at D. E. Shaw Research
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAdam Mclaughlin is a research scientist and engineer with 11 years of experience specializing in GPU-accelerated graph analytics, heterogeneous architectures, and power-conscious high-performance computing. Currently at D. E. Shaw Research, he combines hardware verification for next-generation ASICs with embedded and system software to stress-test parallel architectures. His academic work at Georgia Tech explored streaming GPU implementations and energy-aware execution of graph algorithms, and his internships at NVIDIA and AMD produced measurable speed and power improvements. Based in New York, he brings a rare blend of formal verification, simulation, and practical performance tuning across software and hardware stacks. An interesting detail: he has repeatedly translated high-level descriptions into efficient low-level implementations—whether via LLVM-based energy simulation, System-C to RTL translations, or dynamic GPU power management—bridging research prototypes to deployable verification tools.
11 years of coding experience
4 years of employment as a software developer
MS/PhD, Electrical and Computer Engineering, MS/PhD, Electrical and Computer Engineering at Georgia Institute of TechnologyB.S., Computer Engineering, B.S., Computer Engineering at Boston University
Github Skills (27)
python10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
acceleration9
autograd9
tensorflow9
tensor9
gpu-acceleration9
gnn8
sparse-matrix7
tsne7
graph-engine7
Programming languages (2)
Github contributions (5)
Adam27X/DigitalCosmic
Oct 2020 - May 2021
Contributions:270 pushes, 3 branches in 6 months
Adam27X/cpp-reference-material
Dec 2014 - Mar 2015
Contributions:43 commits, 16 pushes in 3 months
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