Menghua Wu
Machine Learning Researcher at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolMenghua Wu is a machine learning researcher with a decade of experience, currently training foundation models at Apple after completing a PhD in Computer Science at MIT (’25). Their research blends NLP, causal discovery, and AI for science under advisors Regina Barzilay and Tommi Jaakkola, producing work that includes a first-author ICLR 2025 paper on LLM reasoning for genetic perturbation screens. Past internships span Genentech, IBM (co-first author ICLR 2020), and industry roles building applied ML systems—from 3D CNNs on RF video to IoT cloud services—demonstrating strong cross-domain fluency between biology and systems engineering. Based in Cupertino, they pair deep academic rigor with product-minded engineering, often translating research prototypes into benchmarks and practical tools. An early and consistent contributor to ML-for-bio efforts, Menghua has a track record of turning complex scientific problems into measurable model evaluations.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of TechnologyHigh School Diploma, High School Diploma at The Harker School
English, Spanish, Chinese, Japanese
Stackoverflow
1reputation
108reached
0answers
1question
Github Skills (51)
python8
deep-learning8
gpu8
machine-learning8
protein-sequences7
computer-vision6
blending6
neural-network6
tensorflow6
opencv6
image-processing6
numpy5
semi-supervised-learning5
benchmark4
pii4
Programming languages (5)
Github contributions (5)
rmwu/config
Jul 2019 - Mar 2025
Contributions:6 pushes, 1 branch in 5 years 8 months
rmwu/binding-prediction
Jan 2022 - Oct 2022
Contributions:4 commits, 1 push in 9 months
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