Alex Morehead
Berkeley, California, United States
Summary
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SeniorAlex Morehead is a Hopper Postdoctoral Fellow and affiliated researcher based in Berkeley who builds scientific foundation models and runs large-scale HPC deep learning experiments at LBNL and ICSI. With a Ph.D. in computer science from the University of Missouri, he has authored 20+ papers including ICLR and ISMB/ CASP16 contributions and created state-of-the-art protein representation and generative models for 3D molecules and protein–ligand docking. He developed the first SE(3) diffusion model for joint sequence-structure generation (MMDiff) during industry internships and led the Zatom family of models for scientific ML. Comfortable spanning academic rigor and production-ready code, he regularly contributes open-source tooling and reproducible experiment artifacts. Beyond modeling, Alex has taught neurodivergent students, worked in VC deal sourcing, and brings nine years of cross-disciplinary experience bridging ML, computational biology, and software engineering.
9 years of coding experience
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (193)
transformers10
benchmark10
python10
attention-mechanism10
diffusion-models10
text-to-speech10
computational-chemistry10
automatic-speech-recognition10
protein-design10
generative10
deep-learning10
speech10
gpu10
compression10
genomics10
Programming languages (13)
Github contributions (5)
BioinfoMachineLearning/deep-learning-hpc-project-template
Jan 2021 - Sep 2021
A PyTorch Lightning project template adapted for high-performance computing clusters such as Summit and Fugaku
Contributions:177 commits, 175 pushes, 5 branches in 8 months
pytorch-lightning
gabemagee/gunshot_detection
Jun 2019 - Jan 2021
Building a model that can detect gunshots from audio and that can also be scalably deployed to a Raspberry Pi cluster.
Contributions:350 commits, 5 PRs, 298 pushes in 1 year 7 months
audioraspberry-pi
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