Michael Doron
Machine Learning Researcher at Q.ai
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMichael Doron is a machine learning researcher with 13 years of experience, currently advancing interpretable and self-supervised AI at Q.ai after a postdoc at the Broad Institute of MIT and Harvard. He has driven state-of-the-art unbiased representation learning for cellular images and built novel interpretability tools combining GANs and machine teaching, as well as a style-transfer batch effect correction used in biomedical imaging. Michael blends academic rigor from a PhD in neural computation with practical engineering—implementing interpretable ML systems in Scala, Python, and C++ across industry and research settings. He taught large undergraduate cohorts how to build computers from basic logic gates, reflecting a talent for distilling complex ideas into hands-on learning. Based in Cambridge, MA, he bridges cutting-edge research and production-ready solutions in explainable AI for high-stakes domains.
13 years of coding experience
6 years of employment as a software developer
PhD, Brain Research: Computation and Information Processing, PhD, Brain Research: Computation and Information Processing at Interdisciplinary Center for Neural ComputationBachelor's degree, Cognitive Sciences, Computer Sciences, Bachelor's degree, Cognitive Sciences, Computer Sciences at The Hebrew University
Stackoverflow
16reputation
699reached
1answer
0questions
Github Skills (106)
speech10
efficientnet10
timestamps10
optimizer9
whisper9
resnet9
image-processing9
python9
automatic-speech-recognition9
gpu9
image9
machine-learning9
speech-to-text9
asr9
gaussian9
Programming languages (4)
Github contributions (5)
MichaelDoron/HINT
Feb 2019 - Jul 2019
Contributions:31 commits, 29 pushes, 1 branch in 5 months
broadinstitute/DINO4Cells_code
Jul 2023 - Aug 2023
Contributions:14 pushes in 19 days
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