Andrew Hennes
Graduate Student Researcher
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Hennes is a graduate student researcher and computational biophysicist blending chemistry, computer science, and physics to engineer molecular biotechnologies and probe biomolecular mechanisms from first principles. With nine years of research experience across MIT, the Broad Institute, and Harvard, he has applied molecular dynamics and ML-informed modeling to reveal hidden conformational dynamics in CRISPR-Cas9 and to develop continuous evolution systems for intein kinetics and protein binding. He pairs wet-lab expertise—measuring kinetic on/off-target activities and evolving genome-editing proteins—with software and ML contributions, including refactoring and enhancing popular image-registration tooling (Voxelmorph) to better support TensorFlow and PyTorch backends. Based in Cambridge, he is motivated by using evolution as a design principle to drive precision and selectivity in genome modification tools, and he brings a rare combination of hands-on experimental skill and computational engineering to translate molecular insight into engineered function.
9 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng, Biology and Computer Science, Master of Engineering - MEng, Biology and Computer Science at Massachusetts Institute of TechnologyDoctor of Philosophy - PhD, Chemistry and Chemical Biology, Doctor of Philosophy - PhD, Chemistry and Chemical Biology at Harvard University
Github Skills (30)
c-language10
develop10
python10
image-processing10
tensorflow10
fileio10
neuroimaging10
file-handling10
file-processing10
medical-imaging10
file-access10
cprogramming-language10
mri10
back-end-development9
pytorch9
Programming languages (6)
Github contributions (5)
voxelmorph/voxelmorph
Nov 2019 - Oct 2022
Unsupervised Learning for Image Registration
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1 review, 188 commits, 17 PRs in 3 years
Contributions summary:Andrew appears to be primarily involved in refactoring and restructuring the code base, separating the TensorFlow and PyTorch backends. The contributions include updating external dependencies and enhancing the framework's usability by unifying generators, and adding functions for handling image-based data. The user also made modifications to the loss functions, which are a critical component of the machine learning models.
image-registrationunsupervised-learningimage-alignmentmachine-learningdeep-learning
dalcalab/voxynth
Mar 2023 - Jul 2025
Image synthesis and augmentation
Contributions:6 PRs, 21 pushes, 1 branch in 2 years 4 months
image-synthesis
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