Max Hodak is a software engineer with 16 years of experience who blends biomedical engineering training from Duke with hands-on work building tools for scientists. He began in neurophysiology labs developing brain–machine interface experiments and later founded MyFit, a college-student matching startup that exited to Naviance after a Silicon Valley detour. At Transcriptic he focuses on developer-facing products that accelerate laboratory automation and scientific workflows. His open-source work includes an autoencoder for continuous molecular representations, reflecting an interest in applied ML for chemistry and biology. Based in San Francisco and self-styled a "reality engineer," he bridges experimental science, ML modeling, and practical product engineering.
16 years of coding experience
BSE, Biomedical Engineering, BSE, Biomedical Engineering at Duke University
Autoencoder network for learning a continuous representation of molecular structures.
Role in this project:
ML Engineer
Contributions:24 commits, 16 PRs, 40 pushes in 2 months
Contributions summary:Max focused on developing and improving a molecular autoencoder network for learning a continuous representation of molecular structures. Their contributions involved visualizing the model, refining the projection of the latent space, and implementing decoder functionality. They also worked on the preprocessing scripts and updated the model architecture, adding activations and refactoring components.
Contributions:36 commits, 21 pushes, 3 branches in 7 years 7 months
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